It's considerably more flexible than many of its hard-coded rivals, too. It relies on a 'soft' dynamic neural network processing engine dropped into off-the-shelf FPGA chips where competitors often need their approach locked in from the outset. It can handle Microsoft's own AI framework (Cognitive Toolkit), but it can also work with Google's TensorFlow and other systems. You can build a machine learning system the way you like and expect it to run in real-time, instead of letting the hardware dictate your methods. <\/p>\n
To no one's surprise, Microsoft plans to make Project Brainwave available through its own Azure cloud services (it's been big on advanced tech in Azure as of late) so that companies can make use of live AI. There's no guarantee it will receive wide adoption, but it's evident that Microsoft doesn't want to cede any ground to Google, Facebook and others that are making a big deal of internet-delivered AI. It's betting that companies will gladly flock to Azure if they know they have more control over how their AI runs. <\/p>\n
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Microsoft built a hardware platform for real-time AI - Engadget<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" It's considerably more flexible than many of its hard-coded rivals, too. It relies on a 'soft' dynamic neural network processing engine dropped into off-the-shelf FPGA chips where competitors often need their approach locked in from the outset Continue reading