400MHz, 12-bit High Speed Delta Sigma ADC for 5G, LiDAR and Imaging
Eta Compute Awarded Additional Patent For Asynchronous Microprocessor Technology
WESTLAKE VILLAGE, Calif., May 14, 2019 – Eta Compute Inc., a company dedicated to delivering machine learning to mobile and edge devices using its revolutionary new platform, announces today that the company has been issued an additional patent by the US Patent and Trademark Office for novel self-timed technology which supports dynamic voltage scaling. Patent No. 9,423,866 is for the company’s asynchronous processor that automatically adjusts the operating voltage to operate the processor at its point of highest energy efficiency. Combined with patents Patent No. 10,205,453 and Patent No. 10,128,747 the solution includes the innovations required for power management and frequency-controlled voltage sources. Together, this technology improves microcontroller energy efficiency by up to 10X enabling scalable and power-efficient sensor systems to gather, process and analyze data in the field and relay insights for action.
“We have a growing Intellectual Property (IP) portfolio based on the disruptive technologies being developed at Eta Compute that consumes only a fraction of the power of existing solutions and redefines the standard for ultra-low power embedded solutions,” said Dr. Gopal Raghavan, Co-founder of Eta Compute. “This newest patent complements our existing patented technology, which is the foundation of a diverse and wide-ranging set of applications that deliver machine intelligence to the network edge.”
For more information visit EtaCompute.com or contact the company via email at info@etacompute.com.
About Eta Compute
Eta Compute was founded in 2015 with the vision that the proliferation of intelligent devices at the network edge will make daily life safer, healthier, comfortable and more convenient without sacrificing privacy and security. The company’s DIAL™ technology is the world’s lowest power embedded computing platform and is a natural architecture to support event driven machine learning and machine intelligence for portable devices. In 2018, the company received the Design Innovation Of The Year and Best Use Of Advanced Technologies awards at ARM TechCon.
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