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Lei Feng network Note: the author of shanshiguang, PhD, calculation of the Chinese Academy of Sciences researcher, PhD, Deputy Director of the CAs key laboratory of intelligent information processing. Mainly engaged in computer vision, pattern recognition, machine learning, and other related research, especially related to face recognition research. This article was originally titled deep learning in computer vision the success of enlightenment and open discussion of the problem.

Large depth of the data supporting the revival of learning AI landmark progress in the field of is, of course, but that doesn't mean deep learning has the potential to solve all the AI problems.

The "Summary" in recent years, deep learning in image classification, object detection and recognition, and even "composition (Image Captioning)" and many other computer vision tasks are a great success. This paper first discusses the depth of learning success brings us some enlightenment, and then discuss the issues related to open. The only personal opinions, inappropriate reader is correct.

| Deep enlightenment learning success

Deep learning success has brought rapid advances in artificial intelligence-related technology, solves many previously considered intractable problems, but more importantly it is to give us a idea changes, I think it is mainly reflected in the following aspects.

1, optimizing method of change is the key to open the door to deep learning Renaissance

Reviews since 2006 (first year of so-called deep learning) in depth study of ten years of development, we must first note that the optimization method for the continuous improvement of an important role. Need to be aware of is that deep learning is not new technology, but the last century 80 's revival of multilayer neural networks. CV now sought-after model in the field (such as depth DCNN Convolutional neural networks) has basically taken shape in the 80 's of the last century, was not popular for many reasons, one of which was a chronic lack of efficient way to efficiently optimize multiple network, in particular for multilayer neural networks initialize methods effectively.

In this sense, Hinton, 2006 major contribution is to create unsupervised, tiered training multi-layer neural networks pioneer, so that many researchers regained confidence in multilayer neural network.

But for the last three years DCNN's prosperity and unsupervised, tiered training does not make much difference, more optimization method or to improve skills related to such Mini-Batch SGD, ReLU activation function, Batch Normalization, the shortcut in the ResNet etc and, in particular, means dealing with gradients disappear, for DCNN network continues to deepen, performance continues to improve, too.

2 man-made features, experience-driven paradigm to data-driven learning paradigm

Prior to the rise of deep learning, expert knowledge and experience-driven AI paradigm dominated the speech processing, computer vision and pattern recognition in many areas for many years, particularly in terms of information and feature design, past heavy reliance on artificial, seriously affect the effectiveness of intelligent processing technology and versatility. Deep learning upended that "artificial characteristics" paradigm, opening a data-driven "learning" model. Embodied in two points:

1) so-called experience and knowledge in the data, the data volume is large enough without an explicit experience or knowledge is embedded, you can learn directly from the data;

2) can be directly from the original signal started to learn that instead of converting people to a so-called "better" space for learning. Developers of data-driven learning paradigm makes no need to experience and knowledge of process but are not designed for different issues, which greatly improves the versatility of AI algorithms, also significantly reduced the difficulty of solving new problems.

3, from "step by step, divide and conquer" to "learning from end to end"

Partition or process, upcoming or complex problem into a number of simple steps, once a commonly used way to solve complex problems. In the field of AI, and widely used methodology.

For example, in order to solve the image problem of pattern recognition, used to be divided for pre-processing and feature extraction and selection, classifier design of a number of steps. As another example, in order to solve problems, you can use global nonlinear piecewise-linear way. This motive is clear, namely, child or child step easy and manageable, easier to solve. But from the perspective of deep learning, its disadvantages are also equally clear: optimal does not necessarily mean global optimal, each step is the best doesn't mean the whole process is optimal.

In contrast, deep learning emphasizes learning from end to end (end-to-end learning), namely: not to artificial steps or divided into subproblems, but completely to the neural network direct mapping from input to output. Compared to the divide and conquer strategy, end-to-end learning with synergy (synergy) advantage, is more likely to get better on a global solution. Of course, if we have to as a hierarchical "substeps or child problem" is also acceptable, but what those layering completed is not predetermined, but automatically by global optimization based on the data.

4, deep learning we have strong ability of nonlinear modeling

Many complex issues are highly nonlinear in nature and deep learning of nonlinear transformation from input to output, this is the depth of learning in a number of complex issues achieved a breakthrough on one of the important reasons.

Before studying in depth, number of linear or nearly linear models were very popular. Especially since the 90 's of the last century, with linear subspaces of dimension reduction for the purpose of discriminant method to get everyone's attention, such as principal component analysis, Fisher linear discriminant analysis, independent component analysis, and so on.

Later, in order to deal with non-linear problem, Kernel techniques, manifold learning, nonlinear processing methods have been taken seriously. Kernel methods tried to implement a nonlinear transformation of the raw input, but it cannot be defined an explicit nonlinear transformations, with only a limited kind of kernel functions, define the target dot in space, indirectly established.

2000 years after the once-popular attention to the manifold learning methods through the sample between the GEODESIC distance or local neighborhood partnership still to learn about nonlinear mapping, it is regrettable that these methods are difficult to realize non-explicit non-linear transform of training samples. And deep learning by acting on the nonlinear activation function of a large number of neurons (such as the Sigmoid or ReLU), access to a complex nonlinear transformations can be fit enough.

5, models are not always bad Occam's razor principle in many areas, especially in the field of machine learning to be widely known, it warns: "if not necessary, don't add the entity". In other words, the model can be simple to solve the problem better not complex.

This principle in the area of machine learning is important for improving generalization of the model law also makes large complex models tend not to be good. And deep learning is precisely at this point is confusing, in AlexNet, for example, needed to learn the parameters (weight) of up to 60 million, so great arguments seem to indicate that this is a very complex (if not overly complex) model.

Of course, how much needed to learn the parameters in the model does not directly equate to the complexity of the model, but there is little doubt that deep learning seems to be "complexity" is very high. Then Occam's razor principle failure yet? Model complexity or depth of the seemingly complex learning is not high? There seems to be no clear theoretical support. Some recent work suggests that things are already trained, complex, deep learning model can be pruned, compression and other means are reduced, their performance does not diminish or even can be improved.

The key here may lie in "big data" about the "dividend". One possibility is: researchers had long faced a "small data", so too preferred a simple model. And in the sheer amount of data today, moderately complex model to become more responsive to the complex problems faced by researchers, when a large amount of training data and test data distribution and even test data "ran out" when training data, training data on the "fitting" become less scary.

6, neuroscience-inspired idea deserves more attention

Deep learning as a multilayer neural networks are inspired by neuroscience and developed.

Convolutional neural networks in particular, its cognitive roots in 1980 in Fukushima machine model, and the model of motivation is to simulate the receptive field of the mammalian Visual system is getting bigger, layer-by-layer extraction from characteristics of the simple and the complex, enabling semantic chain of abstract visual pathway. The joint efforts of Hubel and Wiesel, the Nobel Prize winner, and the pathway from the 60 's of the last century it has become clear, for CNN was born with good references. But it is worth noting is that biological Visual neural pathways are extremely complex, neuroscientists in the primary visual cortex neurons in a simple edge detection feature is clear, pathways behind some of the more complex the function of nerve cells there to explore, but on a higher level of complicated functions of cells and their mechanism of action is not yet clear.

Depth model such as this means that CNN really simulates the Visual pathway is unclear. But you can be sure of is that the biological connections of the nervous system is very complex, not just bottom-feed and recursive, there is plenty of feedback from top to bottom, as well as external connections from other neural subsystem, which is the current model has not been modeled. Hermes iPhone cover

https://www.youtube.com/watch?v=U414VDsc38o However, advances in brain science can provide more possibilities for model development, is very notable. For example, more recent neuroscience shows that was once considered function to be extremely nerve cells actually has a good plasticity of alienation. For example, a large number of nerve cells in the visual cortex are losing their vision shortly after the demand, which was "reinventing" tactile or other data modes. This plasticity of the nervous system means various intelligent processing task has good versatility, for general development of artificial intelligence to provide a reference.

| Open problems

Large depth of the data supporting the revival of learning AI landmark progress in the field of is, of course, but that doesn't mean deep learning has the potential to solve all the AI problems. Discussion on deep learning of open questions in the field below.

1, by analogy: the necessary data?

Large deep learning is the cornerstone of our success, in depth study of the data, just as fuel in rockets. More and more applications are applications continue to accumulate more wealth of data, which is essential for the further development and application of deep learning. However, excessive reliance on marked one of the biggest limitations of the data is exactly the depth of learning.

Data collection costs, and labeling costs have begun to rise, and there's some there are difficult problems to collect data in the field. For example in the field of medical diagnostics, some of the more rare disease data collection is difficult.

More importantly, when we as a frame of reference when human intelligence, will naturally ask: whether human intelligence is data study results? The answer is not clear. From the individual's perspective, the answer is likely to be negative: we even saw an Apple (or even just an Apple picture) learned to identify Apple without having observed hundreds of different kinds of apples. However, this critical depth appears to be justified, it may not be fair: humans as a species, evolution has seen far more than hundreds or thousands of Apple?

But in any case, a "small data" how to drive deep learning and other machine learning methods is a new direction to explore. In this sense, based on unsupervised learning, similar data transfer in the field of learning, general model in adaptation, knowledge and empirical methods of embedding is very notable.

2, anyway: how to get unsupervised learning ability?

Gets the annotation data of high cost time and money, but not a lot of unsupervised data acquisition cost is negligible. And the current depth of unsupervised learning insufficient data learning capacity, resulting in large amounts of unsupervised data like gold-rich sand sea, we do not have efficient gold rush weapon. Funny thing is, review the history of deep learning, we should remember in 2006, Professor Hinton and others advocated that use deep unsupervised learning for neural network training. But since then, especially after DCNN, unsupervised training seems to have been abandoned by many researchers (especially in the area of CV).

Learn directly from the large amounts of unsupervised data model is very difficult, even if it is one of the "machine", and "Wolf child" example of warning us "self-taught" seems to be unrealistic. But "few instructors data + a lot of unsupervised data" model might be more worthy of study.

3, from learning to structure learning?

Deep learning with "data-driven" paradigm subvert the "artificial characteristics" paradigm, which is a major step forward. But at the same time it yourself into a "man-made structures" by donating money.

Hinton group was originally designed by Professor AlexNet and is then VGG,GoogLeNet,ResNet, and so on, are experts in experience design. Given a new problem, exactly what kind of network is the best (such as convolution) is unknown, which to some extent prevented deep learning in more tasks on the popularity and usage. Therefore, the learning network structure and network parameters is a worthy concern of research directions.

From a computational point of view, the comprehensive learning network structure is extremely complex. Despite some attempts in this regard in the near future, such as pruning algorithms, network reduction, you can adjust the network structure to a certain extent. But also a few parameters to the network (as kernel DCNN bank number) for exploratory work to learn, but is still at an early stage.

4, how to forecast stages for feedback modulation to the network? Hermes iPhone 5 Case

We know that in the realization of the human visual system to "see" in the process, Visual pathways, neurons receive input not only from lower or layers of neurons, also accepts high level feedback signals of neurons, and from other neural subsystem (hearing) the modulation of the signal.

In contrast, we currently used advanced neural network (especially DCNN) in training after the completion of the feature extraction or forecast stages, low-level most neurons cannot accept high neural feedback signal, there is no mechanism to receive other signals (such as prior or other modal information) modulation. This means that a priori knowledge, context, guesses and imagination (head up) "smart" capabilities in the existing application and reflected on the deep Web. How to break through this predicament, given Web-aware adaptive modulation stage, is a worthy study.

5, how to give machine deduction?

Based on data for deep learning can be thought of as a kind of induction, but from the General principles of interpretation is another important human ability, particularly in the cognitive and decision-making processes, we rely heavily on deductive reasoning.

Deductive reasoning in many cases seems to has nothing to do with the data. For example, even if it does not give any examples, we can also rely on symbols (language) to describe, to learn to recognize something that had never seen before.

This problem seems beyond the reach of deep learning zero-shot learning areas, but perhaps not impossible. For example, in recent years an increasing number of production models based on depth of learning are trying to achieve from the symbols (concepts) to image formation.

"The author" shanshiguang, PhD, calculation of the Chinese Academy of Sciences researcher, PhD, Deputy Director of the CAs key laboratory of intelligent information processing. Mainly engaged in computer vision, pattern recognition, machine learning, and other related research, especially related to face recognition research. Has been recommended by the computer society of class a international journals and conferences, published more than 50 papers, papers in Google Scholar references more than 9,000 times. Have been invited to serve as ICCV,ACCV,ICPR,FG International Conference on multiple areas, such as President (Area Chair), the current IEEE Trans. on Image Processing,Neurocomputing and Pattern Recognition Letters Editorial Board of international journals such as (AE). Research by the 2005 National Science and technology progress award second prize of national natural science Award and 2015, 2012 Fund "green" winners, 2015-CCF Youth Science Prize winners.

This comes from Italy iPhone/iPod special iXoost series of audio from Italy Modena local craftsmen hand-built sports cars dedicated aluminum alloy materials. Fitted with a genuine exhaust manifold from sections of the cars in the world, with real engine to build a subwoofer sound attractive to popcorn table! Hello Kitty Note 4 Case

"IXoost" the term comes from the English word "exhaust (exhaust)", and in fact, the main structure of the iXoost series of audio used is the classic model's exhaust pipe.

By custom, we are free to choose the classic model of the engine exhaust manifold, including Ferrari, Bugatti, Maserati and other familiar. Specific styling and a subwoofer to the pedestal, speakers, exhaust manifold to select a different color scheme.

Depending on the selected manifold different iXoost for 8-cylinder, 10-cylinder, 12-cylinder engine model has produced a programme of different specifications of the subwoofer.

8-cylinder, 10-cylinder using the same specification, contains two 28mm tweeter, two 25mm if speakers, 1 100mm and one 200mm the subwoofer a subwoofer.

12-cylinder design will add the extra 1 tweeter, Mid Range Speaker and subwoofer.

By iXoost custom sound materials are purchased from the real sports car engine, manifold design not to sound at the beginning of this component in sound design, sound quality will be a certain impact, but we can hear from the "original flavor" the exhaust pipe in the music.

Car professionals often as mechanical Symphony 12-cylinder engine, and when we let the engine plays "rock band" when the members to get a feel.

After working with Beats Monster is cups before, but its Turbo series that Monster Turbine series sound quality is pretty good. Recommended for Monster Turbine Pearl, is the Turbo-series entry level. Good shape continues to tease out of the turbine, in terms of sound quality is recognized. Moschino S5 Case

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965 votes

BlackBerry Priv

BlackBerry Priv as BlackBerry's first Android phone, high-end market, besides a 5.4-inch QHD AMOLED display, but retains the iconic BlackBerry QWERTY keyboard, in order to keep the fuselage the size of a small, Priv used relatively rare characteristic of design, body measurements only 147779.4mm, 192g. In addition, Priv front panel-production

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Two days looking at the Apple WWDC Keynote, which tells HomeKit progress, the main entrance is the addition of a new App. This entrance is simple and crude, but for average users have been very good. Two years ago everyone guesses why Apple released the HomeKit but no Home app, the most likely reason is Apple afraid of luqie, because do not know how to do it well, do complex does not meet simple standards. The iOS version becomes a lot more complicated, Home app under this standard may also take, put out, but also adaptation of 3D Touch, 6s users happy for a while. Kenzo tiger iPhone 6 case

My family does not have any device that supports HomeKit, so I can't actually experience, said only a few superficial comments.

First of all, I found the iPad can be used as a central controller of the HomeKit, it makes no AppleTV market suddenly has a new way of playing. Which makes me think HomeKit promising first.

Second, the HomeKit local standardized interface does not depend on the account, as long as the following a single LAN can, due to its late, requirements for partners is also many lower than mobile phone accessories category, suggests that the company is very pragmatic. Before I wrote a review of the intelligent software of hardware interface standardization campaign, interested can look at.

https://www.youtube.com/watch?v=8ocsPOtz9es Third, the United States leading the smart home platform Amazon and Google in China at all. There are many reasons, bad to speak did not dare to speak.

For these three reasons, I judge the Apple HomeKit available in mainland China, and will soon lead. Apple users is still very strong, and so is most likely to push up a standardized interface. Behind the key is to have good equipment, intelligent hardware development, China not far behind, and the price is very high, so it will soon be filled.

　　M e riens City (the City of m é riens) is France designed by architect Jacques Rougerie a vast floating city, its purpose is to study marine biology and environmental scientists to provide a place to live.

https://www.youtube.com/watch?v=YS_P-7iGtBc 　　It is understood that this future has a base length of 900 metres, a width of 500 metres, can accommodate 7,000 scientists and students from around the world, and provide them with a series of laboratories, classrooms, lecture halls, living areas, as well as leisure activities and sports, and to facilitate their long-term research projects. FOSSIL iPhone 5

　　When Jacques Rougerie during an interview said: "taking into account the dimensions of the base size of 7000 people and research teams, so I designed the city of m é riens structure of the time reference for the Manta. This is the best design to meet the needs of so many people, and to ensure that the suspended city is stable enough. ” Fossil iPhone case

　　Manta designs were selected, because it has the ability to withstand storms and other severe weather conditions, while the visible structure is 60 m tall, but its underwater depths up to 120 meters, which helps to keep the city of m é riens overall stability.

　　In addition, the city of m é riens shape also allows scientists to the City set in the middle of a large pond used to put some research on mobile devices, there is enough space on both sides of the channel set up aquaculture farms, where scientists can study a variety of marine life. Not only that, the Manta's wing is also provided with a hydroponic greenhouse, in need of where residents can grow their own fruit and vegetables.

　　Jacques Rougerie said: "this is a implementation of United Nations standard management of the international city, residents here are from all over the world. It is for those who explore and research of marine researchers, scholars and students of design. Scientists here and maintain permanent contact of the sea, also have direct access to the underwater world, as part of the city is completely covered by sea-level rise. ”

　　Urban design as a whole is completely sustainable, it can take advantage of renewable ocean energy self-sufficiency and to create zero waste. While it's not yet clear how the Jacques Rougerie plans to achieve this goal, but the city will use grid-connected wave energy power generation, this has recently been on Australia's West Coast to achieve.

　　In February this year, Myles Gough explained to us what is grid-connected wave energy: "the round buoys chained installation in the depth of the water is between 25 to 50 meters underwater pumps. Waves buoy driven water pump and pressurized water through an undersea pipeline to the hydropower stations on land. ”

　　So far, m é riens city remains a purely conceptual design, however, Jacques Rougerie, I hope it can be in 2050 a reality.

[Article correction]

Collection is the collection of 1542

1760 from the United Kingdom in 1860 we called the industrial revolution is the revolution, mainly due to the production to a certain extent needs some production materials including production and technological revolution 1917 it is well known that this is the computer revolution, because we finally walked from the vacuum tube computers into the modern computer in the field; since 1980 is the so-called Internet revolution; then past 2014, also known as the years of the revolution, what revolution? Is the Internet revolution.

In the revolution of the Internet of things, why Internet was mentioned by everyone up to the concept of last year? Because now only the greatest growth is in the automotive sector, are more familiar with computers, its compound annual growth rate of less than 4%, and consumer electronics can only 5% growth in the future. Automotive semiconductor market in this area, we have a number of authoritative data, its compound annual growth rate can reach more than 11%, this is the only one of the biggest opportunities.

Referred to the Internet, you have to speak of Broadcom, on the entire wireless connection, whether it is WiFi, near field communication, Bluetooth, or wireless charging, are occupying the absolute in the consumer market first, and the same technique will be applied to the entire vehicle quickly in networking technologies. So if we can seize the opportunity to listen to Broadcom Vice President of global sales Michael Hurlston, how about Broadcom on connectivity, the understanding and the layout for the China market.

Ethernet onboard after the internal and external connections, how to ensure the safety of in-vehicle information?

Security on the on-board Ethernet. Ethernet as the technique most widely used in homes and businesses, its security is to get the industry as a whole, including the unanimous approval of the consumer, the main reason is that we actually implanted in Ethernet many encryption functions. As for on-board Ethernet, all of these usually consumer-grade Ethernet encryption, will also be ported to the car, this will prevent your car from being someone black, similar to hack your PC, Ethernet hack your car there is a difficulty, because we have very strong encryption on them.

The telematics market is an emerging market, but also an open market, the market is not talking monopoly here. Broadcom Ethernet communications infrastructure company in the traditional, Ethernet switches, are in a monopoly position. In the Internet, you need to talk to a lot of other competitors on the same starting line, in the face of a different market, different customer segment, for Broadcom how this competition? What kind of advantages and strategies do you have?

"In the United States there have been a number of journalists have interviewed me and asked me how to look at things, including connectivity above winners losers, asked me if I had a crystal ball to predict who will win and who will lose. "Michael Hurlston said:" my answer is, for the time being, no one can predict exactly which semiconductor companies, or which companies will succeed in this. But as for Broadcom, we really need to make some changes. Traditionally, Broadcom's business model is going to co-operate with big customers, such as in China, we have very good cooperation with Huawei, ZTE has been, the equivalent of market monopoly. Now, we must change, must serve more small clients, allow all manufacturers to ensure development in Broadcom in the Internet of things. Of course, I think, that Broadcom is not only a threat, but also an opportunity, we want to be able to change some of our models, to occupy some of the advantages of the Internet of the entire revolution. ”

 About in-car Internet, Broadcom between cars and cars, or cars and programme of data centers outside of the Internet in the middle of what?

"The car has a wide variety of wireless connection, but from the standpoint of Broadcom, we hope that on top of Ethernet to promote an open and fair standards, rather than do some privatization of standard protocols. Whether the Bluetooth, WIFI, and NFC, actually has some industry organizations norms. Broadcom hopes and our competitors are able to comply with such an agreement, in order to ensure interoperability. "

"For example, relative to other competing parties to best advantage is that Broadcom in mobile phones, flat above a certain share of the wireless connection is very high, our strict adherence to industry standards. If you are using a mobile phone or tablet, and in-vehicle devices when connected, Broadcom is very easy to get a higher effect of interconnection. Interconnection schemes between the cars and cars are, be recognized by the industry line is 802.11P the standard. ” Vera Bradley tech case

Telematics products and technologies, which was welcomed by the consumers and the development of products and technology mature?

In-vehicle multimedia sharing, phones and tablets are now a standard, what some of the above the content, such as videos, photos, including address, through car sharing a wireless connection in the entire Che Ji and the main screen, and the features consumers are interested in.

Wireless hotspot access, as a carrier, it may have a lot of members. Consumers welcomed the addition of a feature is, throughout the road trip, made with WiFi a hotspot that allows all devices on the bus can be connected to the Internet.

Third, it is also a very interesting application is based on an application of Bluetooth, the traditional way. Now because wear type equipment very fire, like watches and hand ring, car within exists such a application scene, these wear equipment and human related, can detection to human of some State, like will detection human of sleep, will through Bluetooth to in the control sent a message, in the control there do some feedback, makes these wear equipment on body up some stimulus role, let human again recovery to normal of State, these and formed security related of function will get consumers is big of recognized.

Broadcom as a multinational company, how Chinese consumers for the localization of product and service?

As an international company, how to target Chinese consumers require localization features? Michael Hurlston said "a very open attitude Broadcom."

"Right now this season we will find the right partner, and hopes that these local partners, because they are more likely to understand the Chinese consumer as a whole some hobbies, they develop some features of Chinese consumers. The second level, as a leading semiconductor company Broadcom, our chip technology, whether it is a hardware or a software feature customization is very easy to do. We can according to the tendency of consumers in China, quickly introduce some customized changes and features to meet the needs of the consumer market as a whole. “

Electric vehicles are a hot topic, Broadcom has several projects involved in electric cars?

In the electric car on the market, first electric vehicle battery improvements include transmission system is the core of, these two are not Broadcom's core business, but Broadcom is also very active in many cell projects at home and abroad, we mainly do is mentioned in wired and wireless technologies on electric cars as soon as possible, for example, we worked with companies such as Tesla.

Now there were thousands of manufacturers in the Internet of things to do, including many start-ups doing interconnection devices, but there is no true to monopoly, everyone can have the opportunity to be a winner or a player. For start-up companies as a whole throughout the Internet into a lower threshold, then this is a great opportunity for China, in 1971, the computer revolution in 1980 and to the Internet revolution, China is backward, belonging to the followers. However, from now on in the Internet revolution, China is a great opportunity to become a leader in the Internet revolution.

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332 votes

GoPro Hero4 Black

GoPro Hero4 a completely "upgraded", finally won the 30fps in 4K under the resolution of standard definition, can really take 4K HD movies. 2.7K resolution and to support the 50fps smooth quality; in the most commonly used format to 1080p, GoPro Hero4 boldly open up 120fps. iPhone 5 cases Vera Bradley

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　　Metal Gear Solid 5: micro-transaction system of the phantom pain of TES, free also does not affect the game, so it can accept. As if not seeing connection, recently of the Lara Croft Tomb Raider: the rise had also joined the micro-transactions. Juicy Couture iPhone 6 cases Juicy Couture uk

　　We all know that the Tomb Raider series is treasure hunting expeditions as the main content of the game, the new "rise" is no exception. What's wrong with this type of work engaged in micro-transactions? Originally called "adventure card" of the new system.

　　Laura in this adventure, she no longer can count on a player's skill, and after these cards with a variety of effects. Needless to say, the main means of getting these cards is paid-"think about it, don't spend money you become strong? ”

　　Of course, developers will not go too far, they promised the players can get some games for free in the game currency for the purchase of the card. In addition, and not necessarily all of the cards have a buff, is a spoof, just to let the player play weeks when increase the pleasure.

　　Although neither Konami or SE on the problem of micro-transactions are not too aggressive, but we can see that after even 3 a-class article may no longer be a one-shot deal. Faced with this new trend, do you agree?

[Article correction]

Cats from the distant planet, selling good sprouting rapidly earn people's trust, became one of the few human friends. Cats can be building blocks, and uncle Tiananmen armed police standing guard in the eye, uncle of armed police standing guard in the eye while meditating and Tiananmen Square selling MoE, teasing the world famous architecture, also held a beauty contest ... Recently, the cats and get a new skill: making a notebook computer!

Cats make laptop were named Cattop, shape is acting, like a white MacBook Pro. But cats of skill than the late Joe Don, Cattop material is not metal, but "Advanced" ABS hard plastic, this material has the advantage of thermal insulation, can keep warm at the same time to avoid electric shock. Careful observation can be found Cattop notebook left corner rubber made a glowing power button shows cats do is also very detail-oriented.

When it comes to keeping warm, cats computers and humans is a little different, Cattop not only do not require thermal, heating system is installed inside, you can make the keyboard part of the temperature of 38-43 degrees Celsius temperature range. Neither hot nor cold, just a suitable temperature suitable for cats. It is worth mentioning that, in order to guarantee the absolute safety of heating system in cats sitting on the computer instantly shut off power.

Smarter cats will never be a fake keyboard flicker, Cattop made a 101-key keyboard. Is said to feel, Oh, Claw is very good. Screen, a black hard plastic replacement LCD Cattop display area occupied, because it is said that cats don't like TV, it does not need any 1080p, 2K, 4K, IPS display.

https://www.youtube.com/watch?v=Mryli594w-w Cats is the computer, and the Internet? Can listen to songs? Can you self? Emits a female call? Sorry, cannot fail to please, says important things three times. To put it bluntly, this is a nest of cats, and eggs. But according to the amazing intelligence of this species evolved, humans really worried, is it really not far from the occupation of the Earth? Victorias Secret iPhone 6+ case

Cattop is currently on indiegogo site opened to raise, the minimum version of the early bird price of $ 47, after the retail price of us $ 129. Feline owners willing to chop hand? As of Lei feng's network manager, project from stakeholders have raised over 58 days, if all goes well, the official is expected to be shipped January 2016 onwards.

For more cool intelligent hardware information, please pay attention to odd public number (woaiqiku), in odd public key, you can buy, and I'm not gonna tell you, register as a member of Lei feng still get super discount.

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Cattop cat notebook computer

Cats make laptop were named Cattop, shape is acting, like a white MacBook Pro. But cats of skill than the late Joe Don, Cattop material is not metal, but "Advanced" ABS hard plastic, this material has the advantage of thermal insulation, can keep warm at the same time to avoid electric shock.

While SONOS audio type is already very successful product, but the market still think intelligent audio should do, they give audio added a 7-inch display. This display can show that you are listening to the song, can also be used to operate. Why do you want to add a display to audio? It's a question worth thinking about.

Smart sound if done with the traditional sound different? Python 2 Pro options are in the fuselage mounted on a screen. He conducted various operations directly on the body, but also does not preclude the use of mobile phones for remote control operation. Multi color body reflecting the idea of its positioning in the young market, with brushed metal materials technology has demonstrated its

Previously when we use VCD or DVD, most have an extremely poor display, each time when needs the user's own machine to play with. And now, we prefer a machine holding a remote control which operates cell phone, of course is also a remote control and is able to operate more and more things. In practice, however, remote operation operation itself will not directly the same?

This is very interesting, I have asked colleagues around, their opinions and feelings are not the same, one of telekinesis is easy to operate, fast, easy, and he likes it. Other direct action is more interesting, feeling that he is really in control of the machine and remote control are relatively boring, with the display, you can enjoy tinkering with the stuff at the screen.

But maybe Python 2 Pro before joining the display did not think so much, and they will also be adding more practices, human how to operate the machine may not be a conclusion, everyone has their favorite way, but first you have to choose.

Following Lei Feng network interview with Python CTO Steven:

Lei feng's network: Python 2 Pro and a generation where the biggest difference?

Yong: first hardware update, the use of pure digital audio solutions, and replaced more CPU, hardware audio processing modules (sound card), so from the processing speed and the sound quality has greatly improved. Second is the redesign of the software, more beautiful and more rich content. Third, replacing a HD screen and touch-sensitive screens. Finally reference VIFA brand, replacing a better speaker.

Lei feng's network: display idea is do you?

Steven: didn't want to, for a stereo without a screen, from the exterior, and traditional audio does not differ from how convincing is the high-tech products.

Lei feng's network: display and operation on any difficulty?

Chen: the display Pad is 7 inch display, most are developed to fit the landscape, so just optimize the vertical viewing angle screen, we are looking for vendors to communicate a lot, finally agreed to full view.

Lei feng's network: when creating a product, what is the most difficult issue encountered? Or spend most of. YSL Galaxy S5 Case

Chen: most began design of when, we is wants to put DPS sound processing do Android in, results found DPS development package itself in mobile processing Shang of effect optimization of is bad, occupied CPU high, often will broadcast with broadcast with Caton, and United States original on we of support due to apart too far, support not too good, eventually we gave up has in Android in the do DPS sound processing, to hardware processing. Finally, we found that such a change not only solve the problem of Caton, independently of module efficiency is very high, delay is lower, but you can also make the Bluetooth line in audio at the same time enjoy the audio processing on the other.

Lei feng's network: DPS sound sound technology is developed or bought?

Chen: we're DPS sound greater agent, in theory, can be said to be the, DPS is the greatest characteristic of sound effects to enhance the sound quality details and custom sound effects each amp is different, and one of the difficulties is that sound must be adjusted by the experienced tuner manual.

Lei feng's network: music library do? Python 2 Pro is your music library

Chen: our music library is in cooperation with Telecom has also recently come in will be gradually adding new content.

https://www.youtube.com/watch?v=xVnIfHs1fkA Lei feng's network: technology of metal have become obstacles, and how to ensure the consistency of color?

Steven: u-shaped aluminum production yields very low, we are oxidized paint before, but because the plate is too thick then bends will have extrusion, it will have a crack at the bend, we adjusted the drawing process, visually blocked part of the crack. Color is achieved by oxidation of aluminum alloy, this technology is more mature, so color consistency problem is not very big.

Lei feng's network: audio processing capabilities of the Android system is not strong, Python is going to deal with this problem?

Chen: the Android system (4.4) audio capability is weak, by default only support audio 48khz, there is a compatibility issue and handle 44.1khz audio, the sound of a strange. Method only overrides part of the Android source code to implement.

Lei feng's network: Comparing with similar products, where are the core competitive power of the Python 2 Pro?

Steven: and compared to similar products, our product is the best, the sound quality is the best, Word of mouth is the best. We have the best technology, best quality, best user. It is not difficult to understand, such as personal computers PC, core competencies are always doing the best vendor products.

Lei feng's network: user location, Python what research?

Chen: our position is of about 30 users, because the price is more expensive Python, of course, for enthusiasts, age is not an issue.

Lei feng's network: the next generation where improved direction? Not too happy or what place

Yong: first of all from the music, there is no best. Secondly intelligent functions, lack of voice control. Final costs are too high and need to control them from raw materials.

PostScript:

Audio, or WiFi sound development has gradually eroded the traditional sound, although traditional audio manufacturers still holds the high end products and users, but the convenience of the Internet is like a bottle of poison stop, but after that it will be difficult to get rid of. Just above, the cloud of the Internet audio still does not have a complete qualitative programmes, how to better play is a feature of audio, but design and better sound performance, not many really good.

Dialogue with the creator, find product highlights-"materialist" is a network of Lei feng to create brand products reported (General number: okweiwu). We care about a product is, where it came from, where you want to go. Wishes to do the same in the hardware industry, read the "materialistic" articles can be of inspiration.

If you want to talk to us about your product, please send an introduction to [email protected],24 hours will restore.  YSL Galaxy S5 Case

17 votes

Python 2 Pro intelligent audio

Python 2 Pro is equipped with a touch screen is a smart audio, you can use your mobile phone to control, can also be manipulated directly on the fuselage. Supporting DPS music performance rich sound details.

Jiang Zhaoning is also doing a a few years ago to write Code or APP platform that offers services, because there is no business model problem, not long before he made it. In 2013, he saw a Kickstarter using WiFi control light bulb, think of the things you can try, so he and his partner prototype machine was churning out, then caught the Division time to do all the preparatory, smart light bulbs start sales in the domestic market. In this way, he was taking the whole team to a big cross-border.

In June of this year, "all rivers run into sea" millet Conference, Yeelight smart bedside lamp beautiful appearance. Intelligent hardware platforms from now, mistakenly hit by mistake from the start and now really intelligent lighting on the products, to Lei Feng Jiang Zhaoning network reporter concluded: this three year experience to him feeling like a "time push you away, can't stop."

Q1: a lamp really need intelligence?

We do smart bulb mainly for export overseas, as judging on the prevailing market environment, I feel it is high domestic demand for the intelligent lights. But this through intelligent light bulbs in the domestic sales of the two years, and it seems to get user feedback, and so on, I think that users still care about a lamp is intelligent. This bedside lamp was on gathering user requirements should be done on the basis of a product. Moreover, with the popularization of the concept of intelligent, people will naturally look forward to lighting intelligent.

Q2:Yeelight want to solve any problem?

This bedside light to solve the biggest problem is to give people wanted light, that is, of intelligent lighting.

In all the scenes of life in the light of needs are different. Different color temperature and color, has a great effect on people's mood changes. Before going to bed, for example, it is more suitable for use on the warmer side of light to create a more relaxed mood; for example, lights wisely perceive people just go home early with appropriate light to greenhouse; or to know you read for a long time, remind you that you stand up and walk, and so on. My understanding of a lamp of "smart" is its ability to provide bright light, like the light, and let them have a very low threshold for people to use.

Smart in the hardware business, we want to solve the problem is generally hardware how intelligent. But the problem is often not only by one or two products will be able to smoothly and accurately, even in the very beginning you probably will not know exactly what is intelligent. Then you need to launch of the first product, collect user feedback through continuous product improvement to go step by step to solve it. Yeelight bedside lamp solve the problem of lighting intelligent make an attempt.

Good intelligent lighting products should first have the basic ability to learn, adapt to the consumer habits of life and light, can be maintained automatically, convert specific lighting environments. Second is more energy saving and environmental protection, less electricity. Best with some extra bonus features, such as security. Only dimmable LED chip color through APP, it should only be the most fundamental experienced.

Q3: in order to achieve intelligent, Yeelight team in this, what efforts have been made in the product development process?

The product development is quite Headstrong is basically, regardless of cost. In development also was the last of the main considerations to achieve the kind of results.

First of all materials and processes, mainly reflected in is on the cover. Bedside lamp the main manufacturing processes currently on the market there are glass, plastic, paper, cloth, but they all have their pros and cons, not satisfactory. After repeated tests and demonstration, we choose to use two-color injection molding process to create shade body, outer layer of transparent PC layers, inner layer is light diffusion PC layer. LG chemical PC material, light transmittance more than 92%; outer layer using Samsung PC materials, increase, light titanium dioxide dispersants, whitening agent. After engineers during the tests, and distribution of hundreds of recipes, the ratio of raw materials, diffusion layers within the shade to evenly scatter the light and mix thoroughly, outside of the transparent layer and can outline a very good light permeability and texture.

Two-color injection molding technology is mainly used in machining precision equipment, such as mobile phones, game consoles handle products such as high cost but good visual effect, which means that we are actually in the design and manufacture of precision instrument and equipment capacity to deal with its lighting products. But even so, we found very few two-color injection molding machine on the market it is difficult to make Yeelight a bedside lamp shade size, 500 ton two-color injection molding machines to produce, cost is very high. In addition, the lamp also features a 0 the draft angle die process, Visual lighting overall on steep, have a good sense of the vertical. Such a design can achieve the impossible glass cylindrical shape safety and shatter-resistant, shade is dirty, then just pick up cloth can, and very durable.

In order to find the right machine and partner, Yeelight supply chain team has traveled almost the most professional two-color injection molding plant. Due process challenges difficult to yield low, we had countless adverse or even scrap a few die, eventually after nearly six months of development and a massive influx of funding, managed to achieve the shade setting for volume production.

At the base of the technology, the Yeelight bedside lamp using the aluminum chassis is similar to Apple's Mac plus anodizing sandblasting, CNC processing, capable of showing a sense of science and technology and modern, as well as wear-resistant, rust-proof. This design other than the product can be improved in the Visual, due to the large area of aluminum alloy material can act as a very good LED chip cooling medium, so even if used for a long time, bottom of the lamp can be maintained at a low temperature of around 40 degrees. The big base on manufacturing to do is round, and perfect to receive shade is quite difficult, and requires precise control of tolerances. Nearly five months of debugging and test hundreds of thousands of discarded samples, products that eventually meet our design requirements.

LED lighting products are the most critical is the LED chip, chip design and optical diffusion, it is fundamental to guarantee optical quality products. We found out the secondary mixed light glow at the bottom with unique optical structure, to implement all of the commonly used color temperature lamp, showing a lot of color, line and lamp brightness up and down, the technology gets patent for invention. Xia Yongfeng said on Twitter, this lamp is not easy to make, hand played dozens of times, there are many insane moments, this is true, even I think might really get the hang of. We have found the best structural engineers, tooling engineers engineers, supply chain management, they work hard, even so enthusiastically, the process will still be difficult.

Q4:Yeelight lack of bedside lamps what, how can improve?

Now there are some people to question the function of this lamp, 16 million color, for instance, think of little usefulness. In fact, as far as my personal experience does not, might begin a fresh sense of fun, but with long discovered that light is commonly used.

Another usage scenario is also not enough. Software upgrade but we also have plans to add more scenes, themes for people to choose, including doing some interactive features, such as you design a lighting topic you can share with others.

During the development of this product, we encounter the greatest difficulties is the question of supply chain. Difficulty is high due to the manufacturing process, quality control, pressure that led to the current capacity is larger, so the current Yeelight bedside lamps on sale only online, although there are considered late laying of millet line went down to the store, but not implemented. But we will put more resources in the supply chain. Capacity ramp up for new consumer electronics generally require one to two months time, we will try to resolve more quickly.

Q5: millet, how high is the degree of involvement to product development?

This product did define when millet ecological chain is required, first of all to make it into a work of art, face value is higher then to challenge process, cannot easily be shanzhai; also makes products as far as possible scenarios, not a universal thing.

Apart from our review of the product definition in addition to millet eco design team to help us complete the ID of this lamp design, they provide an appearance scheme, and we want to reconstruct and optical aspects of things. Ecological chain of millet have high requirements on the quality of the product, the testing of this product for up to 4 months, internal testing to do two rounds, followed by an open test. In the packaging phase, millet is also doing a lot of marketing support. Can say that this product is a product of cooperation on both sides.

Q6: product pricing is based on the considerations? Dolce & Gabbana iPhone 6 plus Cases

Currently users discussion at best prices, some people say that some say is not worth it. But this product light hardware costs about 170 Yuan, if cost accounting in non-hardware or even lose money. But millet ecological products in the early stage of the chain are priced at cost, and product gross margin is relatively low, with the shipment reaches a certain magnitude will strike a balance, then may be profitable.

Such a pricing strategy for brand image considerations, we quickly recognized by consumers, and also wanted to do something that everybody can accept the product. I Yeelight a bedside lamp is very pleased with sales, opening on June 18 to buy when we sold no stock for an hour a month.

Before we launched the smart light bulbs cost 129, but not excessive profits. That light bulb really expensive, because the supply chain costs are too high, and we plant negotiations very difficult. And it looks like you just bought a light bulb is actually a Zigbee adapter is in the product, the cost is very high, 129 pricing did not make much profit. The rice supply chain support, up to now, we have a hundred thousand of bulb shipped, I'm satisfied with that number. Intelligent lighting is still in its infancy, in the wake of the wave of the future will be better and better, of course, product price will be relatively more and more populist.

Q7: why not directly introduce lamp, but first light bulb, this is not intentional?

Some people say that this is some kind of deliberate policy, but in fact are not. Bedside lamps development was actually launched in smart light bulbs only after initiation.

Start doing smart light bulbs for export, because foreign acceptance of intelligent lighting products is much higher than in China. The beginning of 2013, we do all the smart light bulbs in the event of a time raised to try and found others like domestic. But with the bulb shipped, we received a lot of feedback from users, which most feedback is "why don't you make a lamp out of it", that is after the user has sold light bulbs do not know where to put. So we decided to make products you must first solve the problem of the lamps.

There are also other feedback, such as hope lights two switches control system, on time, memory, and so on. Many needs are obtained from the user, we at the bedside lamp this product is designed to meet those needs.

In retrospect, if you had the choice again I kind of want to for a change. Because the bulb is a product that does not conform to China's national conditions, the Chinese like to buy lamps, do not like to buy light bulbs, bulb is more like a semi-finished product and is now doing lamps is returning to a normal market.

Q8: think Yeelight bedside lamp price on your person, do you need to educate them?

Bedside lamps of this product are in the mature consumer-oriented, this population's sensitivity to price is not so high. Think your man may not have too go lighting market, lack of experience with home renovations, but also may be right and we look forward to a high value, it is also a challenge for us.

On the education of users, I think it is not necessary. As an intelligent hardware products, it is a very fresh, even strangers, then you have to change people's ideas, not found the first batch may be used by users to experience the product. When your product is good enough, that user will naturally help you build your reputation. Intelligent lighting fixtures and other intelligent hardware, and even some smart home products are not the same, it is the product of a slow, so allowing users to influence more people is the best choice.

Q9: maybe in the future there will be more companies have joined the army of intelligent lighting, Yeelight response is what?

In fact, this is a good thing. Intelligent lighting much needed competition in the market, it needs a lot of companies involved to make the pie bigger. But the market still has a too high a threshold problem, some products, such as the HUE of the Philips smart light bulbs, price is expensive, this is not conducive to the expansion of the user base. No one could afford user needs study how are you going to do about it, how could it go and grab the users ' pain points.

For the product to everyone to do from a different perspective. From the Internet such as Yeelight may be biased in terms of products, traditional home businesses are also based on consideration of their position. Products to accelerate and expand the market size is good for everybody. And in the end who will win the victory remains to be seen who can service consumers. But victory is not necessarily exclusive, we can have a symbiotic relationship.

We can now be in intelligent lighting field, teams with the highest investment in both technology and we only do this kind of product, focus is not found in other companies. Another advantage is that teams made up of cross-border, from Internet companies, from consumer electronics products, from traditional in the field of household electrical appliance enterprises, there are also people from lighting products company, people in various fields so that we can have multiple ways to think about how to do one thing well, this condition is very rare.

Q10:Yeelight and millet ecological chain and third party companies in what could be disclosed?

Yeelight team is developing lighting products and interactive features of millet bracelet, this is the most recent action. In addition, we are also very active in want and other companies in the ecological chain, particularly sensors for a class of the company entered into a collaboration. We also do not exclude opportunities of co-operation and the ecological chain of the company, for example, we have and micro-letters related to develop intelligent lighting technology specifications and protocols, which is also encouraged by the ecological chain. Jiang Zhaoning made no secret of its support for millet. As he says, millet ecological chain is also not expected to solve his biggest two questions before: marketing channels and supply chain of endorsements. Yeelight team can now fully focus on the product.

And Lei Feng network reporters talk about this when you experience from several years of entrepreneurial experience, Jiang Zhaoning most exclamation is fortune. Yeelink does not go on when he found new projects; in smart light bulb prototype made soon, not only through an incubator into a emergency money abroad, also mastered the mass production programme; raised in public for the first time after the end of sales difficulties, they joined millet ecological chain. Makes him feel more valuable is, Yeelight the core of the team composition has been fairly stable.

Jiang Zhaoning, intelligent lighting products to replace traditional lighting products are a done deal. Since 2012, Hue for Philips smart light bulbs start market since the early days of the lighting market is already in. Through the efforts of the past few years, Yeelight is also found in its market segment and technology solutions. In 2014, GE, OSRAM introduced a $ 15 ZigBee smart lights, lower prices and greater distribution and contributed greatly to the promotion of intelligent lighting. He predicted that 2015-2016 would be the outbreak of this market, and in the next two years, smart light level of prices is likely to be close to normal LED lamp.

It is reported that Yeelight will set up an Office in Beijing in the near future, they hope that by connecting more closely with the ecological chain of millet, smooth, make product development more boost, allowing users to experience more and more beautiful and the light of wisdom.

Lei feng's network wants to be the best technology and business reports, now, we launched a formal official mailbox facilitate people seeking coverage, the address is: [email protected], welcome to contact!

Related reading:

"Materialistic video" Yeelight smart bedside lamps hand experience report

　　For most people, if they can learn to read quickly, then life will become much easier. If you have the ability to read quickly, they no longer need to spend an hour to read the scientific papers that appear to let headache, you only need a few minutes of time and know everything.

　　Unfortunately, although there are many so-called professional individuals and organizations that claim to be able to teach people how to read fast, but a recent study showed that arguments are basically false. The research results have been published on the psychological science in the public interest. In this study, the researchers made a series of speed reading advocates of different views.

　　For example, speed reading is one of the arguments put forward by supporters of, speed reading training can help us in a simple a glance access to more information than usual, but researchers said: "we can deal with the ability of text we recognize words and understand how much of the text, rather than our eyes can see clearly how many words. ”

　　As early as 1980, the researchers conducted a comprehensive review on speed reading research, course of study, they will be reading the readers, reader and text readers put together a comparison to compare the degree of their understanding of the text if there are differences, or differences in how big. GUCCI cases

　　The results of this study show that speed reading reader's understanding of the text than text readers, but nothing like those at normal speed to read the text reader. Scientists have found that, if reading the reader does not see again for a certain text paragraphs, they will not be able to answer detailed questions related to that paragraph.

　　In their study, the researchers wrote, "these data show that, the ones that speed reading training those who just learned how to text, rather than a true reading. "Although the researchers acknowledge, in the face of too much information when browsing is indeed useful, but they think people should read speed and find an appropriate balance between the accuracy of reading.

　　In addition, researchers said, if you really want to improve your reading speed, the only really reliable way is to practice more. Specifically, you need to practice your ability to understand the words on the page, rather than just seeing them.

　　So, if you see here have spent only 10 seconds of time, it means that you fully understand the content of this article is highly unlikely. If you just want to take a look at, that it's the big influence. However, if you feel you are in the process of reading is focused enough, then you should read it again.

[Article correction] GUCCI case for iphone

Collection is the collection of 1542

　　There are always players who likes to hear himself better than game BGM music. Xbox One will have this feature, the bad news is that it will not come soon.

　　Microsoft recently confirmed that the Xbox One to play music in the background "before summer never comes." This means that you the shortest wait time of several months. Hello Kitty Samsung Note 3 case

　　We don't know why such a simple function requires a long time to realize, music playing in the background, after all it is the Xbox 360 times would have done a thing. Mike Ybarra of Microsoft last year said it was because they wanted to "give players a surprise", but it is hard to imagine how can this surprise.

　　But fortunately, Xbox One this time to change is already big enough. We ushered in the Xbox version of Windows 10 system, and backward compatible with Xbox 360 games. But if you really look forward to music playing in the background, do not begin to look forward to now. Hello Kitty Galaxy Note 3 case

[Article correction]

Collection is the collection of 1542

　　With Windows 10 update Threshold 2 is released for the first time, Microsoft has developed Windows 10 second update, codenamed Redstone Redstone, which will be published in the year 2016. But according to a new report shows that this will, to a large extent focused on the expansion of existing functional Continuum and enhance Windows 10 people computers and Smartphones interoperability between.

　　One of the biggest changes may be real-time data transfer between devices. For example write email messages to users on a device, and then continued on another device just open the appropriate application, you can continue to write this e-mail. Redstone Redstone will know where the user left off, and then on another device allows users to continue. GUCCI iPhone 6 Cases

　　Apple has been working on a similar feature on OS x and iOS, it is called "continuous function". Microsoft seems to have advanced in the Apple. Redstone Redstone in addition to the above features, is rumored to also let the user call feature directly on the PC. We've seen similar features, because Microsoft recently allows users to send text messages on PC using Cortana, it seems to be the natural evolution.

　　In fact, Microsoft Chief Executive Officer SADI ya·Nadela always maintained that he planned to move the focus to enhance the user's experience, and not the device mobility. A more tightly integrated shared across different device operating system must be Microsoft's next direction.

[Article correction]

Collection is the collection of 1542 GUCCI iPhone 6

MIT finally worked out a cheap and efficient recycling of redox flow battery, storing intermittent energy sources, such as solar energy, wind energy, electricity generation is the most lithium-ion batteries 10 times. So what exactly is the redox flow batteries? It is one of two species with opposite charges (electrolyte) liquid exchange ions, then convert chemical energy directly to electricity to recycle batteries. According to this new situation is expected to bring electric vehicle charging.

What is a redox flow battery?

Redox flow battery is a rechargeable battery, the two have opposite charges (electrolyte) of the liquid in the exchange of ions, and then convert chemical energy to electrical energy.

Usually has a layer of thin-film electrolyte separating them to exchange ions when two liquids do not mix. Electrolytes are inexpensive but often used, they will erode the price is not cheap thin film, which greatly shortens the battery life. Researchers are the best way to achieve the goal is to directly remove the film.

In order to make the two liquids do not mix together, researchers used a liquid flow in fluid dynamics techniques will place them in the container. Separate electrolyte storage battery itself, there are two slots filled with electrolyte, this means that the battery can be easily controlled, as long as the change slot size of battery size. Electricity generation will range from several tens of millions of megawatts.

In addition to the size can be adjusted, redox flow battery has many benefits: "can remain idle for a long time without losing charge, fast response time, by replacing the electrolyte can be charged and discharged very quickly" because of this, a few years ago was respected on this should be used to give the fast charging of electric vehicles. The other hand, the flow cell more complex than ordinary batteries, each requires its own pump and sensor systems. And lower energy density than lithium-ion batteries.

This is the future of battery

Now MIT to the development of redox flow battery performance has done a very good job and cost balance using electrolytes are not expensive, instead of expensive film before, solves the shortcomings of short battery life. MIT Labs battery prototype using a strange phenomenon known as laminar flow in fluid dynamics: when two liquids keep the speed low enough, the other conditions are met, two electrolytes will not mix, which makes film extra.

Redox flow battery can be 0.795 Watts of power per square centimeter, generating capacity is 3 times times the other thin-film batteries design system, a common lithium-ion batteries 10 times. DKNY iPhone 6 plus cases

Team also relates to thin film solar cell systems before, but this is the first automatic energy-saving battery discharge and charge, and the larger version of this device really bring influence, it can be only 100 dollars per kilowatt hour. Another benefit is that this technology can be used in the storage of renewable, because the Sun and the wind can be seen in the short term is unlimited, so you can store a large amount of clean energy as an alternate. Hopefully this will free batch conversion of solar and wind power, into the best energy choice for electric vehicles. DKNY iPhone plus case

Via gizmag

637 votes

GoPro Hero4 Silver

As a camera not only do the camera, holding a bunch of extreme sports videos in the Youtube, further down the hearts of grass when GoPro spelling is not the hardware of the camera itself. Sports culture as the core, and relatively good hardware and accessories, GoPro sports camera is you want to do, "Red Bull", once the GoPro truly "moving camera" yardstick of all latecomers, no matter how cheap the price. Performance highlights, will have to face many problems faced by such domestic beverage Red Bull, users to buy or not to buy you, depends entirely on how much you like "Red Bull".

　　Movie the edge of tomorrow, not just full of interesting narrative, handsome power armor alone is a big attraction. Imitate many of tomorrow's edge DIY power armor, but Peter Kokis material is all junk!

　　Peter Kokis says he saw the trailer of the edge of tomorrow, just like the movie the power armor design. Over 30 times, he immediately began to collect materials DIY. Louis Vuitton Case

　　In order to create this one, he can think of all the places to find the best materials-home and pet stores, drug stores, sporting goods, discarded hardware. Everything looks like something you can use are Kokis goals. He specifically mentioned "the power armor" used a lot and toilet-related items, the effect is good.

　　Most surprising is not a wide range of source material, but eventually finished high Reducibility. If you do not pay attention to odd details, and less metallic parts, do you really think this is a movie prop.

　　Now Kokis will also create a "Optimus Prime". Don't know if his new work also so grounded.

[Article correction]

Collection is the collection of 1542

!m![Alt Balanced, millet's new toy]( guessed the beginning but didn't guess end.

No balance car, also not 999, even even leads are not millet, in Beijing JW million Howe Hotel held of this launches, no to out any a paragraph actual products, just just announced has once acquisition matters, acquisition of both, respectively is city balance car manufacturers Ninebot (Nineth, robot) and balance car of created who Segway (game grid Granville), and was shocked of is, this acquisition of "buyer" was is not which.

Outside the Conference in addition to the announced acquisition of Segway, also announce xiaomi, Sequoia Capital, Shun Huashan, funds and capital investment in Ninebot. In other words, the Ninebot had been formally incorporated into the ecological chain of millet, the acquisition of Segway, believed industrial layout has some ties with millet.

In fact, prior to this launch, the majority of users under invitation – a marked "n" and "s" magnets – speculated that this launch should be associated with balance and bold predictions of millet has the potential to release balance of 999 Yuan. Final results confirmed the prediction of netizens, but balance is cheap car but does not publish.

Since 2001 balance since the advent of the car, has been attracting a large number of consumers ' concerns and expectations, needs technology Guy also has made no secret of expression to balance love, Steve jobs is one of them. But since more than 10 years, balancing has been tepid, even derided as costly and unwieldy, large toys, and sales are dismal, even the founding brand Segway is no exception. Ninebot whether the acquisition of the subject Segway decline, bringing balance car truly into the realm of mass consumption?

Balance, a wrong product

First, define it. Two-wheeled balancing vehicle currently on the market, is a mistake.