#techblog

आजच्या डिजिटल युगात कृत्रिम बुद्धिमत्ता म्हणजेच AI (Artificial Intelligence) अनेक क्षेत्रांमध्ये मोठे बदल घडवून आणत आहे. त्यामध्ये आरोग्य क्षेत्र हा सर्वात महत्त्वाचा आणि वेगाने विकसित होणारा भाग आहे. AI मुळे डॉक्टर, रुग्ण आणि आरोग्य व्यवस्थापन या तिन्ही स्तरांवर सकारात्मक बदल दिसून येत आहेत.

पूर्वी एखाद्या आजाराचे निदान करण्यासाठी अनेक चाचण्या, वेळ आणि तज्ञ डॉक्टरांची आवश्यकता असायची. परंतु आज AI च्या मदतीने मोठ्या प्रमाणात वैद्यकीय माहिती (medical data) काही सेकंदांत विश्लेषित करता येते. उदाहरणार्थ, एक्स-रे, MRI किंवा CT स्कॅन सारख्या तपासण्यांमध्ये AI प्रणाली डॉक्टरांना अचूक निष्कर्ष काढण्यात मदत करते. त्यामुळे कॅन्सर, हृदयविकार किंवा फुफ्फुसांच्या आजारांचे लवकर निदान करणे शक्य झाले आहे.

AI चा आणखी एक महत्त्वाचा उपयोग म्हणजे रुग्णांच्या वैयक्तिक उपचार योजना (personalized treatment) तयार करणे. प्रत्येक व्यक्तीची प्रकृती, जीवनशैली आणि वैद्यकीय इतिहास वेगळा असतो. AI या सर्व माहितीचे विश्लेषण करून त्या रुग्णासाठी सर्वात योग्य उपचार पद्धती सुचवू शकते. त्यामुळे उपचार अधिक प्रभावी आणि सुरक्षित बनतात.

तसेच आज अनेक हॉस्पिटल्समध्ये AI आधारित चॅटबॉट्स आणि व्हर्च्युअल हेल्थ असिस्टंट्स वापरले जात आहेत. हे सिस्टम्स रुग्णांना प्राथमिक सल्ला देतात, अपॉइंटमेंट बुक करण्यास मदत करतात आणि आवश्यक माहिती उपलब्ध करून देतात. त्यामुळे डॉक्टरांचा वेळ वाचतो आणि रुग्णांनाही जलद सेवा मिळते.

औषध संशोधनामध्येही AI मोठी भूमिका बजावत आहे. नवीन औषधे तयार करण्यासाठी पूर्वी अनेक वर्षे लागत असत. आता AI च्या मदतीने संशोधक मोठ्या प्रमाणातील जैविक माहितीचे विश्लेषण करून संभाव्य औषधांची निवड जलदगतीने करू शकतात. यामुळे संशोधनाचा खर्च आणि वेळ दोन्ही कमी होण्यास मदत होते.

तथापि, AI चा वापर करताना काही आव्हाने देखील आहेत. रुग्णांच्या वैयक्तिक माहितीची गोपनीयता राखणे, तंत्रज्ञानावर अति अवलंबून न राहणे आणि डॉक्टरांची भूमिका कायम ठेवणे हे महत्त्वाचे मुद्दे आहेत. AI हा डॉक्टरांचा पर्याय नसून त्यांच्या कामाला अधिक सक्षम बनवणारे साधन आहे.

एकूणच पाहता, आरोग्य क्षेत्रात AI मुळे उपचार अधिक अचूक, वेगवान आणि सर्वांसाठी उपलब्ध होण्याची शक्यता वाढली आहे. योग्य वापर आणि नियोजन केल्यास AI भविष्यात आरोग्य व्यवस्थेला अधिक सक्षम आणि मानवकेंद्री बनवू शकते.

नाव - ध्रुव मंडल

I was curious about how image search APIs actually work in real projects, so I decided to try one myself using Python. No hype, just real testing, real results, and honest observations.

In this article, I break down:

What problem I was trying to solve

How I used an image search API with Python

What worked well (and what didn’t)

Whether it’s actually useful for developers and beginners

I’ve explained everything in straightforward language, especially for people who are new or just exploring image search tools.

👉 Read the full experience here: https://medium.com/@amydoe/i-tried-image-search-api-python-heres-the-result-8bfc3f8491bf

In a world where managing different apps feels too chaotic, just envision if your customer gets a one-stop service to log into their business dashboard that contains tailored visuals, charts, and insights without switching here and there. Extra login, not needed. Redirection, not required. All of their requirements are baked together to experience the magic of one-stop solution. This magic can be created by embedding Power BI into websites and apps.

Now, comes the challenge. You must be thinking, this task will be filled of technical hassles and complexities. However, if you have got the right setup, there is no need to worry. Embedding Power BI into website and apps can be a game-changing enhancement for your product or service with the help of a smooth setup. Worried about being a non-technical professional? Just read through this guide, to understand how Power BI embedded analytics can unlock the full value of your business.

Integrating Insights: The Power of Embedded BI

Embedding Power BI can be like inviting it to reside into your own application instead of sending your users to visit a separate platform. Let’s see what are the two ways it can play out:

When everything is managed by the app itself. This works best when data is shared with external users like customers or partners. They don’t need Power BI accounts. The app handles all the access.                     

When the users already belong to an organization and have Power BI accounts. They get dashboards tailored just for them inside the tools they already use every day.

Why Embedding Power BI Matters

Let’s get to the real excitement of embedding. This is not only about making your dashboards visually appealing, in fact you actually put your dashboards on a really hard work to bring best insights to you.

Users stay focused. No more jumping between windows to pull reports. When the live data is at your fingertips, you are empowered to take best decisions for your business.  Embedding also helps to regulate that everyone just gets to see what they are supposed to see. Security is ensured with your locked tight data.

Dashboard blends really well with your app, matching the logo, color and branding of your product or service.

That’s how a white-label Power BI solution is hallmarked.  There are enough testimonials of businesses that show how embedding dashboards helps them. 

One product team shared how embedding dashboards helped their customer support team cut response times in half. Instead of juggling tools, agents had insights built into their workspace. Getting Set Up for Embedding Power BI Before you think to dive into this, keep few pieces in place: A Power BI license that fits the users. Pro works for smaller internal use.

Premium fits wider distribution. Azure Active Directory for managing logins and verifying identities. Reports already created in Power BI Desktop and published to the cloud. An app registered in Azure to handle secure logins and permissions. For large-scale apps, using a service account to handle access behind the scenes helps everything run smoother.

How the Embedding Power BI Process Works

You can start by choosing a setup that fits into your requirements, User-based for internal tools. App-based for customer-facing portals.

Your choice affects the verification of users and access management, After that, you can go ahead with building and publishing reports.

It should include:

Interactive visuals that make sense to end users

Filters and navigation to help people zero in on what matters

Data refresh settings to keep the information timely Now comes the technical preparation:

Register the app in Azure

Set up redirect links

Generate secret keys to handle permissions

After doing all these, it’s coding time. Secure tokens are helpful to restrict the users to only see what you want to allow them.

Your app talks to Power BI securely with the help of these tokens. At last, using JavaScript the front end pulls everything. 

The Power BI JavaScript API tutorial can guide developers step-by-step in connecting the visuals, handling load events, and creating seamless interactions.

Keeping Security Tight with Embedding Power BI

There is a detailed list of rules to dictate what Power BI allows your users to see in your data. All of this process works behind the scenes where it keeps a check on who is logged in and then respective filters are applied There are positive feedback about security measures in Power BI embedded analytics.

One company using this setup described how it allowed different clients to access the same dashboard while keeping their data siloed and safe.

The best practice is to create the tokens on the server, and not leave them exposed in the browser.

Secure storage, HTTPS, and time limits help protect everything.

Performance Tips When Embedding Power BI  

Keeping the visuals clear and focused helps. Use caching to reduce repeat load times. Design with mobile users in mind. Reports can adapt to screen size and orientation. Monitor loading speed and gather user feedback to tweak performance. 

Embedding Power BI in Multi-Tenant Apps

When there are multiple clients in a business, such scenario needs special care. Allotting separate workspace to each customer keep the things clean. Or, you have the option to use single workspace with smart filtering to show different data to different people. In the backend, for each tenant there can be tailored token. It gives the power of access management

Tracking and Monitoring Embedding Power BI Usage

Tracking can be added to understand the us of dashboards by the people. Clicking visuals and switching pages by users can be logged. Load times can be measured to spot slowdowns. The insights from these data can be helpful in the refinement of experience over time

Branding and Theming for Embedding Power BI

You just need to do few tweaks, and your dashboards perfectly blend with your app. Custom colors. Matching fonts. A layout that fits the existing interface. After all, branding is important to give the seamless experience.

Launching Embedding Power BI in Production

Use load balancing to keep performance steady. Protect apps with strong security policies. Plan for backups in case something goes sideways. Production setups should include disaster recovery plans, capacity monitoring, and token caching

Embedding Power BI for Interactive Dashboards on Website

Several teams are taking the advantage of embedded Power BI to build interactive dashboards on website platforms. Basically, your customer won’t feel the need to leave the page to explore data. So, transparency, engagement and better decision-making, all are integrated in one place.

Final Thoughts on Embedding Power BI

You are just making a tech upgrade while embedding Power BI

You are also upgrading the experience of the users

Your data comes to life in the very same tool that is being used everyday by the people.

Full potential of interactive dashboards is unlocked when Power BI report is embedded in website or app interfaces

When this is done well, you transform the decision-making, operation of the team, and engagement of the customers.

Embedding is actually worth the effort for any business that is looking to make data truly accessible.

Even in this guide, all you get to know is the surface of Power BI embedded analytics

With a clear vision and right setup, your data becomes the most powerful part of user experience

Where DataFlip Adds Value

Need help navigating the technical maze of Power BI embedding? DataFlip specializes in embedding solutions, white-label dashboards, and creating interactive reports tailored for your business or clients. From Azure setup to secure token flows, every step is simplified.

HAVE AT YE, MOJANG

haha

For the past two weeks I've been learning Python and I've been really enjoying it. I've completed the Learn Python 3 course on Codecademy and have been using various Youtube tutorials, as of right now I can confidently work with:

Basic syntax

Boolean operators

If, elif, else statements

while and for loops

Lists, tuples, and dictionaries

Functions

Modules

Files

(Article originally posted on TheRetroWeb)

Have you ever wanted to play Minecraft? Have you ever wondered “how terrible can I make this experience”? No? Well too bad. You’ve clicked on this article and I’ve gone this far already, so let’s just keep going and see what happens.

A Little bit of history…

The S3 ViRGE, short for Video and Rendering Graphics Engine (alternately, Virtual Reality Graphics Engine), was first introduced in November of 1995, with an actual release date of early 1996. It was S3 Graphics’ very first 3D-capable graphics card, and it had the unfortunate luck of launching alongside… the 3Dfx Voodoo 1.

It became rather quickly apparent that the ViRGE was terribly insufficient in comparison to the Voodoo, and in fact even picked up the infamous moniker of “graphics decelerator”, which poked fun at its lackluster 3D performance.

The original ViRGE would be followed by the card that this article focuses on, the ViRGE/DX, just a little under a year later in the waning months of 1996.

The ViRGE/DX was a welcome improvement over the original release, lifting performance to more acceptable levels and improving software compatibility with better drivers. Mostly. And while native Direct3D performance was iffy at best and OpenGL support was nonexistent, S3 did have one last trick up their sleeves to keep the ViRGE line relevant: the S3D Toolkit.

Similar to 3Dfx’s Glide API, the S3D Toolkit was S3 Graphics’ proprietary low-level graphics API for the ViRGE. Unlike 3Dfx’s offering, however, S3D, much like the cards it was intended for, fell flat on its face. Only a small handful of games ever natively supported S3D acceleration, and by my own admission, I haven’t ever played any of them.

But wait, this article is about playing Minecraft on the ViRGE, isn’t it? The block game of all time is famously written in Java, and uses an OpenGL rendering pipeline. So, how can the S3 ViRGE, a card with no OpenGL support, possibly play Minecraft?

Wrappers!

This is where a little thing called “OpenGL wrappers” come in. Shipping in the form of plain OpenGL32.dll files (at least, on Windows) that you drop into a folder alongside whatever needs OpenGL acceleration, these wrappers provide a way to modify, or “wrap”, OpenGL API calls.

In our case, we are interested in the category of OpenGL wrappers that translate OpenGL API calls to that of other APIs. For a more modern equivalent of these wrappers, the Intel Arc line of graphics cards uses DXVK in order to translate older DirectX 9 calls to Vulkan, which is a natively-supported API.

For this experiment, we will be using a wrapper called “S3Mesa”, made by Brian Paul of the Mesa project. Though open-source, this wrapper never made it to a completed state, and is missing certain features such as texture transparency despite the ViRGE itself being supposedly capable of it. However, this does not affect gameplay much beyond aesthetics.

The S3Mesa wrapper, on a more technical note, translates OpenGL 1.1 calls to a mix of both S3D and DirectX API calls.

The System

At last, we arrive at the system hardware. As of writing, I am currently benchmarking a plethora of low-end (or otherwise infamous) cards for my “Ultra Nugget Graphics Card Roundup”, and so the system itself is likely a liiiiiittle bit overpowered for the lowly ViRGE/DX:

AMD Athlon XP (Palomino) @ 1.14GHz

Shuttle MK32 Socket A motherboard

256MB DDR-400

S3 ViRGE/DX (upgraded to 4MB of video memory)

Windows 98SE

Why Windows 98SE? Because S3 never released 3D-accelerated graphics drivers for non-Windows 9x operating systems in the consumer space.

For Minecraft itself, KernelEX 4.5.2 and Java 6 are installed as well, and an old version of the launcher dating back to early 2013 that I personally refer to as the “Minecraft 1.5 Launcher” is used for compatibility purposes. Also because no launcher that can work on Windows 98 is capable of logging into the authentication servers anymore.

Setting up the game

With Windows 98SE, KernelEX, and Java 6 installed (in that order, of course), we can turn our attention to the game itself. As mentioned before, no launcher to my knowledge that runs on Windows 98 is capable of logging into the auth servers. This results in two additional problems: starting the game itself and downloading game assets.

Using the 1.5 launcher solves this first issue by means of relying on a little thing called the lastlogin file. This is an old way that the launcher was able to allow players to keep playing offline when disconnected from the internet, but more importantly, unlike the modern launcher, it doesn’t expire. 🙂

And because of that, our login problem is solved by middle school me’s old .minecraft folder backup, from which I’ve extracted the lastlogin file for use in this experiment.

As for game assets, there is no longer any way to easily download the game files for use on Windows 98SE directly, and so I’ve instead pieced together a folder using that same backup. The most important thing is that instead there being a “versions” folder, there is now instead a “bin” folder, where both the natives and the game’s jarfile both reside.

Now that our .minecraft folder is acquired, take that thing and plot it right down into the Windows folder in Windows 98. Why? Because on Windows 98, the 1.5 launcher ignores the “application data” folder entirely. The launcher itself can go anywhere you’d like, so long as you’re using the .exe version and not the .jar version.

Finally, to wrap things up, place the OpenGL to S3D wrapper in the same location as the launcher exe. Make sure it’s called OpenGL32.dll!

The Game

You just lost it. 🙂

The S3 ViRGE, by my own testing, is capable of running any version of Minecraft from Classic up to and including Indev version in-20100110. However, it is EXTREMELY unstable, and has a tendency to crash mere seconds after loading into a world. This is on top of some minor rendering errors introduced by the aformentioned incomplete state of the S3Mesa wrapper. This video was recorded with Windows ME rather than Windows 98, but this does not impact anything regarding performance or compatibility (and in fact, at least from my own experience, the game is more stable under ME than 98).

Below are the desktop/game settings used in testing:

“Tiny” render distance

Desktop resolution: 640 x 480 (don’t fullscreen the game)

Bit depth: 16/24-bit color (32-bit can cause the ViRGE to run out of memory, and 16-bit can cause strange issues on Windows 98)

And last but not least, some gameplay. This came from some scrapped footage originally intended for my “UNGCR” video, and was only intended for personal reference in collecting performance numbers. As such, the audio is muted due to some copyrighted music blasting in the background.

Further reading/resources

Vogons Wrapper Project

Original video that this article is based on

VGA Legacy MKIII’s ViRGE/DX page

i don’t mind any pronouns so fee free to switch it up a bit :)

I’m also gonna be VERY active on here!! so stay tuned!

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