• EE Times

    Forget sub-watt processors; ETA Compute aims to enable a generation of sub-milliwatt chips that can crank out useful work. The company’s Dial architecture enables cores to run at 0.25 V, potentially delivering a five-fold improvement in MIPS/watt compared to today’s MCUs. At last check, they were still pushing beyond proofs-of-concept, but whether they get traction or not, this is the kind of design thinking that the IoT needs.

  • eeNews Analog

    Eta Compute Inc. (Westlake Village, Calif.) a company that uses self-timed, ultra-low voltage electronics, has appointed Narayan Srinivasa as chief technology officer, to take the company into machine learning Prior to joining Eta Compute, Srinivasa worked with Intel Labs as chief scientist and senior principal engineer, leading Intel work on neuromorphic computing.

  • ElectronicDesign

    Eta Compute is trying to make chips that run on so little power that they act almost like neurons in the human brain, running artificial intelligence locally in sensors and other devices. Now the start-up has hired Narayan Srinivasa, Intel's chief scientist in charge of neuromorphic computing, as its chief technology officer.

  • EE Times

    Eta Compute Inc. (Westlake Village, Calif.), a startup IP licensor founded in 2015, claims to have developed the world's lowest power microcontroller IP with a Cortex-M3 processor core that operates down to 0.25V. The company describes it design methodology as the only "self-timed technology supporting dynamic voltage scaling (DVS) that is insensitive to process variations, inaccurate device models, and path delay variations." The company was co-founded by former colleagues and co-founders at Inphi and has Walden International as a venture capital backer and counts ARM Ltd. as a partner.

  • Econotimes

    “With more than 20 years of experience in machine learning, including neuromorphic systems, Dr. Srinivasa is an exceptional addition to Eta Compute’s management team. Dr. Srinivasa was the natural choice for Eta Compute given his experience in research and development of both machine learning and neuromorphic architectures and their applications,” said Dr. Raghavan, “I'm delighted to officially welcome him, and I look forward to his contributions to both our technology and customers.”