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This Former NASA Director’s Next Mission Is an IoT Voice-Recognition Startup

By Megan Crouse | June 7, 2016

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Image credit: KnuEdge

A former NASA chief has launched an Internet of Things company and two neural computing products inspired by the biology of the brain.

On Monday, Dan Goldin, NASA administrator from 1992 to 2001, announced his new technology startup, called KnuEdge. ComputerWorld has an interview with the founder.

“We are not about incremental technology. Our mission is fundamental transformation,” said Goldin on KnuEdge’s website. “We were swinging for the fences from the very beginning, with intent to create next-generation technologies that will in essence alter how humans interact with machines, and enable next-generation computing capabilities ranging from machine learning to artificial intelligence.”

Both of the products they have available now are focused on neural learning. The KnuVerse voice-recognition software has military-grade word recognition and authentication. The second product is KnuPath, a processor designed specifically for neural computing.

KnuVerse has built with voice recognition in mind, like commercial voice technology Siri or Alexa. However, the military-grade performance means that it is more likely to be able to authenticate individual voices for security clearance, or to pick up individual voices in very noisy environments. It also delivers a cloud-based API service so that developers can use the software with their own products.

KnuPath is an alternative to traditional GPU or CPU setups; instead of using them, it uses a LambdaFabric processor technology with application-specific integrated circuit (ASIC) that can support data centers and consumer networks with up to 512,000 devices.

KnuEdge is just beginning, but has already received $100 million in private funding and $20 million in revenue, Goldin says. Headquartered in San Diego, they will be looking for more applications for their tech as the years go on, including both private and federal business.


Filed Under: M2M (machine to machine)

 

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