♦️Machine Learning nowadays base of Microsoft ♦️😯

Vrukshali Torawane
5 min readOct 18, 2020

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🤩 Hello guys !! 🙋🏻‍♀️🙋🏻‍♀️

So today I came up with new article which will help you know how Microsoft uses Machine Learning ?? 😀😀

👉🏻 First lets understand What is Artificial Intelligence ??

In simple words, Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. 🤔🤔

👉🏻 Now, What is Machine Learning ?

♦️Machine learning♦️ is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

👉🏻 Here is my list of the top 10 AI companies that have the power and resources to shape our connected future. These are the big players in artificial intelligence. 😬😯😯

  1. Amazon
  2. Apple
  3. Facebook
  4. Google
  5. IBM
  6. Intel
  7. Microsoft
  8. Nvidia
  9. Qualcomm
  10. Twitter

✍🏻 Case Study on How Microsoft uses ML ?? 🤔

For better or for worse, depending on your view about technology’s impact on employment, artificial intelligence has long been seen as a technology to help companies do more things with fewer people.

Microsoft is involved in Artificial Intelligence on both the consumer and business sides. Cortana, Microsoft’s AI digital assistant, is in direct competition with Alexa, Siri, and Google Assistant. Artificial Intelligence features are a large part of the company’s Azure Cloud service, which provides chatbots and machine learning services to some of the biggest names in the business. Microsoft also purchased five AI companies in 2018 alone. 🙄🙄😯😯

⭕ How Office 365 and Azure spot hackers trying to break into accounts, how Cortana can recognize what you’re saying, how Kinect can detect the position of your fingers or the joints of your skeleton from an infrared image. It’s also why the keyboard on Windows Phone is so accurate: Data derived from thousands of people correcting mistakes on their phones enables the software to guess which letter you’re going to type next and make that key (invisibly) bigger.

⭕ Machine learning technique makes it easier to touch the right menu on a Windows tablet with your finger and helps OneNote figure out your handwriting. Launch an app in Windows 8, and three-quarters of the time it opens almost instantly, thanks to machine learning that tells the system which apps to preload into memory because you’re going to need them.

⭕ Machine learning takes enormous amounts of data — whether it’s a server log, a stream of information from sensors or a huge collection of images, videos, or audio recordings — and merges it into a system that’s better at handling complex situations than any algorithm. The idea has been around for 50 years, but as more and more data becomes available, machine learning has become increasingly useful, going from academic research to powering breakthroughs like usable voice recognition.

“I honestly can’t think of any recent product development that Microsoft has been involved in that hasn’t involved machine learning. Everything we do now is influenced, one way or another, by machine learning.”, says Microsoft’s director of research, Peter Lee. 😌

Take the recent Microsoft Band, the flagship device for Microsoft’s new Health platform. “We wanted to get the blood flow sensor to provide accurate readings even under extreme athletic duress like rowing,” Lee explains (the vice president who approved the project is an avid rower). “It’s a very low-cost sensor; just to interpret the reading from the sensor, we’ve found machine learning is the only practical approach to doing that.”

🤩🤩 Deep Dive…

⭕ Voice recognition used to mean training your computer to learn your voice, or sticking to a few simple commands; now it means you can buy a new phone and start talking to it — and Windows 10 will bring that to your PC.

⭕ Image recognition has gone from spotting when there’s a face in a photograph to coping with everything from text to traffic signals. The ImageNet benchmark tests identifying photos of a thousand objects, like recognizing not only pictures of 150 different dogs but also their breeds

A team of Microsoft researchers in the Beijing lab announced that their deep learning system was the first to beat untrained humans on the benchmark (narrowly beating Google to the achievement).

That’s all thanks to deep learning. It’s one of the fastest-moving areas in AI today; the pioneers of deep learning work at Google, at Facebook, at Baidu — and at Microsoft.

♦️ Microsoft’s big machine learning future 🙌🏻🤩

CEO Satya Nadella called out machine learning — and the big data that powers it — as a key development in his memo to Microsoft last July. “Billions of sensors, screens, and devices — in conference rooms, living rooms, cities, cars, phones, PCs — are forming a vast network and streams of data that simply disappear into the background of our lives. This computing power will digitize nearly everything around us and will derive insights from all of the data being generated by interactions among people and between people and machines. We are moving from a world where computing power was scarce to a place where it now is almost limitless, and where the true scarce commodity is increasingly human attention.”

Whether or not Microsoft makes more fundamental breakthroughs in AI, what it learns about using machine learning will carry on showing up in all the products you use — including ones you build yourself.

The way big companies defend their computer systems against attacks — hackers trying to penetrate their networks, malware that intrudes their email systems and web browsers, and more. “Every one of those things today are most efficiently detected in real-time and automatically, using machine learning algorithms”

🔰 Thank you for reading !! 🔰

♦️ Keep Learning !! Keep Sharing !! ♦️🙌🏻✌🏻

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