The rising popularity of JavaScript has carried with it many improvements and today’s landscape of web development is dramatically different. The stuff we can do on the web today with JavaScript running on the site, as well as in the application, were difficult to imagine just a few years ago, even encapsulated in sandboxed settings such as Flash or Java Applets.

In a single sentence: Node.js shines over websockets in real-time web applications utilizing push technology. What is it that is so revolutionary? Okay, after more than 20 years of stateless-web based on the stateless request-response model, we finally have web applications with real-time, two-way communications, where both client and server may initiate contact, enabling them to openly exchange data. This is in sharp contrast to the typical network response paradigm, where contact is always facilitated by the recipient. In fact, it’s all based on the open web stack (HTML , CSS and JS) running across the regular 80 channel.

Node.js’ main idea: use non-blocking, event-driven I / O to remain lightweight and efficient when confronted with data-intensive real-time applications running across distributed devices. How that also means say is that Node.js is not a silver-bullet modern technology that controls the field of web growth. It’s just a forum that meets a common need.

You certainly don’t want to use Node.js for CPU-intensive operations; using it for heavy computation would annul almost all of its obvious benefits. Where Node really shines is in building fast , scalable network applications, so that’s equipped to handle a huge number of concurrent connections with high throughput.

It is pretty interesting how this operates under-the-hood. Node.js acts as a single thread, using non-blocking I / O calls, helping it to accept tens of thousands of concurrent connections kept in the event loop compared to traditional web-serving approaches where each link creates a new thread, taking up machine RAM before ultimately maxing-out at the amount of RAM accessible.

Now a very popular question regarding node.js- is it used for front-end or backend? Node.js is effectively a runtime environment for Chrome built on the V8 Javascript engine, implying that Javascript can be omitted from a browser’s execution background. To draw a very vague analogy, Node.js is to Javascript, which is what JRE is to Java, (although not a very appropriate comparison). How you would like to leverage Node.js is dependent on you. Since it can operate Javascript outside a window background and also has the ability to run a non-blocking I / O-based HTTP server (with the aid of Http libraries) that it offers out of the box, it can be used in back-end/server-side scenarios.

Also you can use Node.js in the front end so as to simplify your daily tasks including construct, running unit tests of your front end code. Frameworks like Grunt, Gulp, Bower exploit features in Node.js so as to improve and enhance the software development.

Even actually Angular 2 uses Node.js to install packages and compile Typescript to Javascript. Therefore, Node.js can be used in both front-end and back-end scenarios in practice, but in essence it has been developed to serve the purpose where Javascript can be used on the server side to develop web applications, resulting in a single language for both front-end and back-end development.

Also you can use Node.js in the front end so as to simplify your daily tasks including construct, running unit tests of your front end code. Frameworks like Grunt, Gulp, Bower exploit features in Node.js so as to improve and enhance the software development.

Even actually Angular 2 uses Node.js to install packages and compile Typescript to Javascript. Therefore, Node.js can be used in both front-end and back-end scenarios in practice, but in essence it has been developed to serve the purpose where Javascript can be used on the server side to develop web applications, resulting in a single language for both front-end and back-end development.

Hope this helps.

A lot of pollution is caused due to the use of petrol and diesel in vehicles. This is the reason why the government is trying to use its alternate options like bio and green fuel. A step towards this is that a trial has been made to make green fuel from bamboo. National Green Tribunal (NGT) has given a go ahead to a bamboo based ethanol project. Through the Ministry of Environment, Forest and Climate Change, NGT has been given permission to make ethanol using bamboo in Golaghat, Assam. NGT chief A.K. Goyal has said that using bamboo fuel will help in reducing pollution. It will be an alternate option for petrol and diesel which will help in controlling the pollution level.

Powerful transformation serves as a tool for both patients and provider–and that trend will continue over the next decade. So if AI is unlikely to supplant trusted doctors and must accommodate patient data privacy, where will the big changes happen?

AI in Five Years: Smarter Machines and Virtual Assistant

Incremental jumps in technology will increase the ubiquity and strength of the examples above, but where will the real change happen?

Consider how much happens behind-the-scenes when working with a virtual assistant on your smartphone. From voice recognition that learns your voice to combing through live search results to leveraging past behaviours to sharing results across devices—this unfolds instantly and most of us never even consider the AI-powered how.

“Imagine you go to the hospital for a PET scan or MRI,” said Scott Tease, Lenovo’s executive director of High-Performance Computing and Artificial Intelligence.

“Before the doctor or technician reviews the images, an algorithm will interpret the data and flag every irregularity.

This accelerates the caregivers’ efforts, draws their attention to issues, and helps ensure nothing is overlooked. In fact, these processes are under review by regulatory bodies right now.”

Enhanced resolution and analysis will allow remote scanning and diagnosis — even of small and subtle symptoms. Doctors may be more apt to embrace this use of AI, but what about the deluge of tracking data?

The prospect of health-tracking devices automatically pinging clinics with potential concerns raises more than a few eyebrows.

We may also see the growing demand for “convenience”—everything available at your fingertips through a website or app—reshape low-risk patient care. Here, AI may lead to chatbot-style physician care, where a series of targeted questions combined with biometrics will help people find the right care. Telemedicine, of course, made consulting a doctor from the comfort of home possible years ago, but an electronic physician could radically reduce cost. Even if a real person steps in to review and approve, an AI-led interview and data assessment would certainly increase efficiency.

“Convenience, risk assessment, and accuracy all play a role.

We’re not likely to see the chatbot approach take over for anything with dangerous symptoms.”

AI in 10 Years: Personalized, Globally Accessible Medicine

Assume that the changes outlined so far march forward, driven by advances in technology and wider adoption. Misconceptions about AI will also continue to erode, and successful deployment of AI-assisted technology. Who can guess how fleets of autonomous vehicles smoothly navigating city streets and highways will change perception?

AI also notoriously employs a so-called “black box”—the essential genius of deep-learning unfolds behind a closed curtain. We know the input and output, of course, but seldom the step-by-step process of the AI reaching its conclusion. It can be difficult to trust an answer when the underlying work is hidden (and may contain accidental bias).

Trust will likely grow over the next decade, but even without that embrace, things may wildly transform—as much as possible in the regulated world of medicine. Mapping a genome opens a window into inherited conditions, susceptibility to disease, potential response to treatment, and countless other insights. But the process takes time and the considerable might of high-performance computers.

https://youtu.be/vLNhCaGDab4

Capturing photographs is one of the most common things one do in his/her everyday life. Can you even remember how many times a day you open the camera of your phone to click something. No matter what your subject is, you at least click one photo a day. And if you don’t, you should.

Capturing photographs is a way great way to express your feelings. There’s a famous saying, “A good photograph is worth a thousand words’. Photography is all about capturing the one perfect shot at a perfect moment. But their are different formats of a particular type of file.

For example: an audio file may have formats of MP3, Wav etc. or a video file may have formats of MP4, mkv, avi etc.

Similarly, when a photographer captures a photograph, he has options to shoot either in JPEG or Raw (CR2) format.

So the question arises, which one is better format to shoot?

Let’s talk about JPEG first. It is the format, which is mostly used by anyone who captures photographs. A photo captured using a mobile is always in JPEG format. The format is fully processed by the camera, and hence, can be used and shared easily.

Raw is not actually a picture, it’s a negative. Negative is actually an unprocessed image which can’t be directly shared anywhere. These are to be processed later by using editing apps and softwares into JPEG to share.

But now the question arises, why we need to shoot in RAW format if ultimately we need to convert the image into JPEG?

As mentioned above, Raw file must be post processed which means while editing, it would be easier to change the exposure, contrast, highlights and shadows etc of Raw files rather than a JPEG file.

A JPEG file is of 8bit and it comprises of the basic colours (RGB) in the value of 256 each. This means in JPEG file, one gets total of 16 million colours in this format.

Whereas, Raw files is of 12bit or 14bit. If we talk about 12bit, it has total of 68 Billion colours in this format. Such a huge difference. Isn’t it?

This is why, it is always recommended to photographers to always shoot in RAW. The format helps them to insert the colours and the value of exposure, contrast etc. accordingly.

Though, there are few problems with RAW files too.

1. They are quite large in size, so one must use a memory card with high storage space to shoot in RAW.

2. While shooting Raw at higher shutter speed, the camera takes time to load and hence one can miss the perfect shot. So, a memory card of high speed to avoid this.

Still, if one is afraid to shoot in RAW because it takes time to edit the photographs in this format, he can use the format of RAW+JPEG. This format will give you both the files in your memory card and so, one can use the format accordingly.

On the day, India’s daily tests have scaled a new peak of 10 lakh 23 thousand,India has achieved another milestone as it recorded highest ever single day recoveries of 63,631 in the last 24 hours.

With this high number of COVID-19 patients recovering and being discharged from the hospitals and home isolation (in case of mild and moderate cases), the Recovery Rate has reached 74.69%.This has also led to declining Case Fatality Rate, which stands at a new low of 1.87% today.

India’s total recoveries now exceed thetotal active cases (6,97,330) by more than 15 lakhs.The record high recoveries have ensured that the actual caseload of the country viz. the active cases, has reduced and currently comprises only 23.43% of the total positive cases. Early identification through aggressive TESTING, comprehensive surveillance & contact TRACING along with focus on timely and efficient clinical TREATMENT of patients have ensured speedy recovery.Higher number of recoveries and declining fatality have shown that India’s graded and pro-active strategyis delivering results on the field.

As we move on to the new normal of learning to live with COVID19, Aarogya Setu team has worked on a new innovative feature which is called ‘Open API Service’. In order to help businesses and economy to start functioning while being safe, the Open API Service enables organizations to check the status of Aarogya Setu and integrate it into its various Work from Home features. The Open API Service of Aarogya Setu, addresses the fear/risk of Covid-19 infections and help the people, businesses and the economy to return to normalcy.

Aarogya Setu has been powering India’s fight against COVID-19 since its launch on 2nd April 2020. Aarogya Setu has now emerged as the most downloaded contact tracing App in the world, with more than 15 crore Users. The overwhelming support of the people has enabled Aarogya Setu to aid the efforts of frontline health workers and the Government in COVID-19 mitigation and management efforts. More than 6.6 million Bluetooth contacts have been traced and percentage positive of those who have tested is almost 27%. Thus Aarogya Setu based Bluetooth contact tracing and testing is very efficient and effective. Similarly, many others have been advised for caution and quarantine and it has led to breaking the chain of spread and has been effective in early detection and ensuring that fatality rates in India are amongst the lowest. The Aarogya Setu ITIHAS interface which uses location data and Aarogya Setu analytics to predict emerging hotspots at Sub Pincode levels has been very effective in helping the health officials and administration to take necessary precautionary steps. More than 30,000 hotspots have been identified at a very granular level of 300 m X 300 m and shared with State Governments and Districts. 

Since its launch, Aarogya Setu has continuously innovated and introduced more novel features like e-pass integration, QR Code scanning, sharing of Health status with family/known persons – all of which have been very effective in keeping India and Indians safe in line with the motto of Aarogya Setu – Main Surakshit, Hum Surakshit, Bharat Surakshit.

Open API Service

The Open API Service of Aarogya Setu, can be availed by organizations and business entities, who are registered in India with more than 50 employees, and they can use the Open API Service to query the Aarogya Setu Application in real-time and get the health status of their employees or any other Aarogya Setu User, who have provided their consent for sharing their health status with the organization. The Open API shall only provide the Aarogya Setu status and name of the Aarogya Setu User (with User’s consent). No other personal data shall be provided through the API.

On the day, India’s daily tests have scaled a new peak of 10 lakh 23 thousand,India has achieved another milestone as it recorded highest ever single day recoveries of 63,631 in the last 24 hours.

With this high number of COVID-19 patients recovering and being discharged from the hospitals and home isolation (in case of mild and moderate cases), the Recovery Rate has reached 74.69%.This has also led to declining Case Fatality Rate, which stands at a new low of 1.87% today.

India’s total recoveries now exceed thetotal active cases (6,97,330) by more than 15 lakhs.The record high recoveries have ensured that the actual caseload of the country viz. the active cases, has reduced and currently comprises only 23.43% of the total positive cases. Early identification through aggressive TESTING, comprehensive surveillance & contact TRACING along with focus on timely and efficient clinical TREATMENT of patients have ensured speedy recovery.Higher number of recoveries and declining fatality have shown that India’s graded and pro-active strategyis delivering results on the field.