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Microsoft releases new version of Microsoft Cognitive Toolkit


Microsoft has recently released Beta of Microsoft Cognitive Toolkit, a new open source version to further advance the learning system in the areas of speech and image recognition, but not only. Previously known as CNTK, Microsoft Cognitive Toolkit was originally developed by Microsoft scientists who needed a toolkit that would make their research faster and more effective. "It quickly moved beyond speech and morphed into an offering that customers including a leading international appliance maker and Microsoft's flagship product groups depend on for a wide variety of deep learning tasks," according to Microsoft. "We've taken it from a research tool to something that works in a production setting," according to Frank Seide, a principal researcher at Microsoft Artificial Intelligence and Research and a key architect of Microsoft Cognitive Toolkit. Nowadays a lot of giant companies, as well as small startup companies are in need for a deep learning of speech understanding and image recognition.

Artificial Intelligence: A Race, Startups versus Tech Giants…. By-Utpal Chakraborty


World of technology is moving in a fast pace. A decade ago it was not so easy to start a new IT company. A new company required a huge amount of initial investment to setup. It was not so easy for startups to develop their ideas and bring them into the world without a huge investment. The technology market has rapidly changed within a decade.

Microsoft to deploy artificial intelligence for eyecare - The Economic Times


HYDERABAD: To use artificial intelligence (AI) in the field of eyecare, Microsoft India, in collaboration with L V Prasad Eye Institute launched Microsoft Intelligent Network for Eyecare (MINE), on Monday. This is a consortium of different institutions with similar goals who have joined hands to apply artificial intelligence to help eliminate avoidable blindness and scale delivery of eyecare services across the globe. The partner organizations, which include Bascom Palmer from University of Miami, Flaum Eye Institute from University of Rochester, Federal University of Sao Paulo and Brien Holden Vision Institute, will collectively work on diverse datasets of patients across geographies to come up with machine learning predictive models for vision impairment and eye disease. Microsoft will deploy its cloud platform technology Cortana Intelligence Suite for advanced analytics and to build intelligence models on eyecare. "MINE, a global collaboration, reinforces Microsoft's belief in the combined power of data, cloud and advanced analytics to drive public good," said Anil Bhansali, managing director of Microsoft India (R&D).

Microsoft and Schneider Electric launch AI for Green Energy


Microsoft and digital energy management and automation solution provider Schneider Electric have partnered to launch AI for Green Energy, a new accelerator programme for Microsoft's AI Factory. Through the programme, Microsoft and Schneider will help start-ups use artificial intelligence (AI) to transform the energy sector in Europe, decreasing consumption and increasing energy efficiency. These entrepreneurs will be able to learn from the technical and business expertise of the two companies during a three-month acceleration period. "We are delighted to leverage our ecosystem of partners to serve the most important causes to society, thanks to the start-ups of tomorrow," said Agnès Van de Walle, director of Microsoft's One Commercial Partner group. "Schneider Electric will bring in-depth expertise and personalised support, accelerating innovation across the energy sector."

Oakland-based art and tech studio takes critical look at A.I. - Artificial Intelligence Online


Artificial intelligence is not as advanced as you may think. Sure, it's technologically advanced, but it lacks a general understanding of what's socially acceptable to say, the real world and the way humans interact. In the last couple of months, Microsoft has had a couple of failed attempts with artificial intelligence. The first involved an image recognition app called Fetch!, which looks at photos of dogs to identify its breed. People, of course, started to use the app to determine what breed of dog people resemble.