#modulates

How cell competition modulates morphogen gradients — ScienceDaily

Tissue patterning is an important process during embryo formation, as well in adult tissue, which ensures that groups of cells are correctly arranged to allow them to function properly. Many studies have attempted to understand how disruptive cells (arranged or signaling improperly) are removed from healthy tissues; none have provided a clear explanation, until now.

In a new study published in N…

New Post has been published on https://masscryptocurrency.com/?p=3309

How Ubcoin Market Modulates Content Using Artificial Intelligence

Ubcoin is developing now its own AI-based system based on deep neural networks to automatically moderate millions of variable content ads without a human factor and to minimize the legal and ethical risks for the business. Ubcoin is a unique crypto-to-goods exchange – a blockchain-based platform where everyone can buy or sell real goods for cryptocurrency. Ubcoin is conducting a public token sale now having raised more than 4 million dollars from private investors and some undisclosed amount from institutional ones – the Inventure fund and the Singapore-based Amereus fund. Ubcoin will be part of the Ubank mobile app that is pre-installed by Samsung in 10 countries and has over 16 mln installations worldwide. You can buy Ubcoin tokens with a discount now on https://ubcoin.io/en

Moderation of content on public marketplaces is an important task. Only a company that provides ethical and legitimate placement of content can  generate steady growth and form a successful business model.

Lack of content moderation entails legal and image risks. For example, Facebook and eBay invested hundreds of millions of dollars into programs to track and block fake news. In the spring of 2018, a competition with a prize fund of $ 35,000 was held at the Kaggle site where 4551 teams from data analysis specialists solved the task of “Toxic Comment Classification”.

Three approaches to content moderation should be considered:

Manual check. An expensive approach with low quality due to the “human factor”. Manual check is unacceptable in large-scale projects, such as the Ubcoin Market.

Semi-automatic check and check based on rules. Semi-automatic check is only applicable to structured, highly specialized content. For platforms with high content variability, you can not manually set all the necessary rules.

Approach based on machine learning. A forward-looking approach that uses statistical data to classify content. It is the approach, which is based on artificial intelligence that we use in the Ubcoin Market service, since it is devoid of the human factor and is resistant to the variability of content in the presence of a relevant training sample.

Tasks solved by artificial intelligence Ubcoin Market:

Verification of content for compliance with the requirements of law. An artificial neural network detects content by category: drugs, weapons, pornography, etc., and either immediately blocks the advertisement or sends it to the moderator for a specialist.

Ethical review. Ubcoin Market does not accept placement of materials containing toxic comments, racism or discrimination.

Detect duplicate ads. Often, duplicate ads are placed by scammers, and therefore it is necessary to track copies of texts and images.

The principle of how artificial intelligence operates within the Ubcoin Market

The basis of artificial intelligence within the Ubcoin Market is established with three machine learning models.

The processing of ad texts is carried out using a model based on a deep, bidirectional recurrent neural network and an algorithm for translating text data into a feature vector – Word2Vec.

Deep neural networks with a ResNet-based architecture pre-trained on ImageNet images and additionally trained on their own training sample are used to process images and to reveal the content of the inscriptions on the image.

The output uses the XGBoost algorithm, which is based on the composition of decision trees and takes into account variative data.

The Ubcoin Market team tests GAN algorithms (Generate adversarial network). GAN is an approach proposed by Google in 2014, in which not one neural network is used, but two that “teach each other.” Generative adversarial network will allow to reach a qualitatively new level in the classification of content.

Ubcoin Market will also use artificial intelligence for the tasks of personal recommendations and the fight against fraud. To do this, it is poised to collect data on the behavior of users on the platform and to build predictive models based on them.

The problem of models of machine learning is their “obsolescence” with time. In order for models to be relevant and give the best quality of prediction, a regular update of the training sample and model parameters is required. To do this, the Ubcoin Market team plans to use the data from both open source and work-related platforms, with markup on platforms such as “Amazon Mechanical Turk”.

The process of artificial intelligence Ubcoin Market is carried out as follows:

To train an artificial algorithm, a training sample is assembled, consisting of relevant examples. After “teaching” the algorithm, the input algorithm is supplied with text and graphic data. At the output, we get the value of a class that demonstrates whether the ad contains signs that indicate a violation of the rules.

Ubcoin Market implements state of the art approaches such as using technologies like artificial intelligence to ensure the company’s competitiveness in the 21st century.

Artificial intelligence based on deep neural networks allows Ubcoin Market to automatically moderate millions of variable content ads without a human factor and minimizes the legal and ethical risks for the business. You can buy Ubcoin tokens with a discount now on https://ubcoin.io/en

This is a sponsored press release and does not necessarily reflect the opinions or views held by any employees of The Merkle. This is not investment, trading, or gambling advice. Always conduct your own independent research.

A foreword

In digital signal processing, often need to turn the multidigit digital signal into a digital signal. For example, in the field of communication, the receiver receives the encoded digital speech signal, need to turn him into the analog signal, the original simulation pronunciation signal restoring soon. Encoded speech signal, it is usually multidigit bit stream. So how turn analog speech signal into multidigit bit stream, become, guarantee the intersection of Communication and key of quality. And for example, in some controlling circuit, the control signal is through calculating the multidigit digital signal that is produced, and these digital signals must turn into analog signal to control the circuit. So how turn analog signal to correspond to reality the requirement into multidigit digital signal, become the problem that a controlling circuit artificer cares about most.

In traditional circuit design, in the face of above-mentioned problem, usually choose to use D/A converter composed of a plurality of sep electronic devices and components, we call him the static D/A converter too sometimes. But because of the composition structure of the static D/A converter, have determined him in the system, must take up certain space and consume the quantitative power. Then in those demand to carry the convenient systematic scheme, the static D/A converter has to be replaced [1 ].

Then people as it always goes, choose " The digital foundation " D/A converter. There are 2 kinds of and used in methods that the figure D/A changes: PWM( P ulse Width Modulation) Pulse length modulation and PDM (Pulse Density Modulation) Pulse number modulation. The physical space comparison that this kind of figure D/A converter takes up is small, the spent power is smaller too. So, are suitable for requiring the more rigorous system [1 ] to the system hardware magnitude and power consumption.

As far back as the forties of the 20th century, PWM began to be applied to the telephone. Because of the limitation of PWM, people have proposed PDM modulation method after 20 years. But because the market of application at that time did not still become scale, this kind of modulation method has been failing to get extensive concern and application all the time. In recent years, because the digital technique is widely used in each field, the digital products are developed at full speed, digital signal processing begins to get the increasingly many concern. Then PDM modulation technique is paid attention to again, and is applied to different fields.

2 PDM basic introduction

PDM is that a is offered the modulation method of the analog signal in the digital field. In PDM signal, logic one Show single pulse, the intersection of logic and " the 0 " Show that there is not pulse. Usually logic " 1" And logic " 0" It is discontinuous, logic one Distributed and modulated in each one in video interval more evenly. Among them the single pulse does not represent the amplitude, but a series of pulsing density is correspondent to the amplitude in the analog signal. Totally from " 1" It is the positive voltage that the constituent PDM signal is correspondent to the amplitude; Totally from " 0" The constituent PDM signal is correspondent to the voltage of shouldering amplitude; By " 1 " And " 0 " Replace the voltage that the constituent signal is correspondent to amplitude 0.

Realization of 3 PDM

The technical logic block diagram of the PDM modulation is shown as in Fig. 1. Realize, correspond to reality the intersection of application and clock signal of requirement with 1 the intersection of frequency demultiplication and counter, pulse period Δ T. Send the clock signal into  N location counter again, realizes 0, 1, ,count of 2N-1. In single pulse period Δ T counting, will count the logical value at every the unit of the result and pass a series of logic operation, realize N location comparative basic reference pulse signal, it is Bit0, Bit1, Bit2 respectively, ,Bit(N -1) . What merits attention is, in every Δ T, there is logic one only at the unit ,Other location It is the logic to have " 0" . N location bus line data and comparative basic reference pulse signal Bit0 outputting the register at the same time, Bit1,Bit2, ,Bit(N-1) Go on and operation by turn, or, get Δ T inner modulation result the intersection of result and phase at all the unit again. In this way, receive modulating the result after modulating cycle entirely.