Earlier this week, Microsoft Research revealed about their Project Adam at the Microsoft Research Faculty Summit. It is an state of an art machine learning and artificial intelligence program that enable software to visually recognize any object. Project Adam and its object classification is built on a massive dataset of 14 million images from the Web and sites such as Flickr, made up of more than 22,000 categories drawn from user-generated tags. Microsoft claims that this program is twice more accurate in its object recognition and 50 times faster than other systems. To show this system in action, Microsoft used a live dog on stage and Project Adam powered phone recognized the breed of the dog. You can watch it here. Trishul Chilimbi, Partner Research Manager for Microsoft Research, discusses Project Adam, and how deep neural networks have enabled large-scale computer image recognition with astounding accuracy. “The one thing that’s interesting and fundamental to ...

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Microsoft Research today spoke about their Project Adam at the Microsoft Research Faculty Summit. It is an state of an art machine learning and artificial intelligence program that enable softwares to visually recognize any object. Project Adam and its object classification is built on a massive dataset of 14 million images from the Web and sites such as Flickr, made up of more than 22,000 categories drawn from user-generated tags by Microsoft resesarcher Trishul Chilimbi  and his team. Microsoft claims that this program is twice more accurate in its object recognition and 50 times faster than other systems. To show this system in action, Microsoft used a live dog on stage and Project Adam powered phone recognized the breed of the dog. The live demo of the dog breed detector integrated Project Adam’s technology into Cortana. Apacible pointed a phone at the Dalmatian – named Cowboy – and asked it, “Cortana, what ...

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At Microsoft Research Faculty Summit, Microsoft revealed their new project called ‘Adam’. Project Adam is a deep-learning system modeled after the human brain that has greater image classification accuracy and is 50 times faster than other systems in the industry. Microsoft ran the benchmark test called ImageNet 22K, the Adam neural network tops the performance numbers of the Google Brain, a system that is behind the services across. This benchmark test includes a database of 22,000 types of images, and only Adam and Google Brain are among the few artificial intelligence models that can handle this massive amount of input. Microsoft is looking to use Adam to provide lots of applications for users such as the ability to get information about anything just by pointing out your mobile camera and more. Microsoft even brought dogs on to the stage and demoed the system in which the mobile camera recognized the dog breed when pointed at the dog. Lee believes Adam could ...

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