Eta Compute Inc., a company dedicated to delivering neuromorphic computing based machine intelligence to mobile and edge devices using its revolutionary new platform, announced the availability of its latest System on Chip (SoC) platform. Silicon proven in TSMC 55nm ULP process, this ground-breaking product consumes only a fraction of the power of existing solutions and redefines the standard for ultra-low power embedded solutions.
Halfway into his presentation, Lip-Bu introduced two guest speakers addressing hardware solutions optimized for machine learning related and data analytics applications. The second guest speaker was Gopal Raghavan, CEO from Eta Compute, a startup founded in 2015 attempting to deliver enabling solution for intelligent IoT devices. He showcased an embedded platform to do low-power, machine learning audio/speech and visual/image recognitions, allowing training done on the edge. This approach was intended to avoid the need of transmitting high volume data over the power intensive RF based network.
The Linley Group
For decades, processor architects have been trying to beat the clock—the steady crystal heartbeat that regulates the synchronous logic in conventional circuits. Lower power is the reward of clockless asynchronous logic, but design complexities are the perennial obstacles. The latest company to tackle the challenge is Eta Compute, a Southern California startup.
Gopal Rahgavan, CEO of startup Eta Compute, said that edge computing improves both privacy and security because it keeps data local. And it improves response time by eliminating the time it takes to send and receive data back from the cloud. “You want to sense, infer, and act without going to the cloud, but you also want the ability to learn on the edge,” he said, noting that the cochlea in the ear already does this today, allowing it to identify speech in a noisy environment. The same happens with the retina in the eye, which can decipher images and movement before the brain can process those images.
Eta Compute Inc. announced the availability of its latest System on Chip (SoC) platform. Silicon proven in TSMC 55nm ULP process, this ground-breaking product consumes only a fraction of the power of existing solutions and redefines the standard for ultra-low power embedded solutions. “Our patented event driven processor architecture (DIAL™) is combined with our fully customizable neuromorphic algorithms,” said Nara Srinivasa Ph. D., CTO of Eta Compute. “These will be the foundation of a diverse and wide-ranging set of applications that deliver machine intelligence to the network edge.”