• IEEE Micro, CTO Dr. Nara Srinivasa, co-author

    Abstract: Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon. It integrates a wide range of novel features for the field, such as hierarchical connectivity, dendritic compartments, synaptic delays, and, most importantly, programmable synaptic learning rules. Running a spiking convolutional form of the Locally Competitive Algorithm, Loihi can solve LASSO optimization problems with over three orders of magnitude superior energy-delay-product compared to conventional solvers running on a CPU iso-process/voltage/area. This provides an unambiguous example of spike-based computation, outperforming all known conventional solutions.

  • PARIS — Eta Compute, a startup that demonstrated last summer at Hot Chips a very low power microcontroller using asynchronous technology, has come up with a new spin that it calls “the industry’s first neuromorphic platform.” In announcing the availability of its latest SoC platform IC based on TSMC's 55nm ULP process, Paul Washkewicz, vice president of marketing and a co-founder of Eta Compute, Wednesday (March 15) pitched it as an ideal platform for “delivering neuromorphic computing based machine intelligence to mobile and edge devices.”

  • EE Catalog

    Revolutionary Technology is Defining the Industry Standard for Enabling Machine Intelligence at the Network Edge WESTLAKE VILLAGE, Calif., March 14, 2018 – Eta Compute Inc., a company dedicated to delivering neuromorphic computing based machine intelligence to mobile and edge devices using its revolutionary new platform, today 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.

  • eeNews Europe

    Well-connected IP licensing startup Eta Compute Inc. (Westlake Village, Calif.) has launched a neuromorphic computing platform for low-power machine learning and artificial intelligence at the edge. The 55nm node based platform includes a Cortex-M3 processor from ARM, a Coolflux DSP from NXP Semiconductors, 12bit successive approximation register (SAR) analog-to-digital converter, power management and support for analog blocks such as power on reset, brown-out detector, oscillators, temp sensor, crystal oscillator, and RC oscillators.

  • Design & Reuse

    WESTLAKE VILLAGE, Calif. -- March 14, 2018 – Eta Compute Inc., a company dedicated to delivering neuromorphic computing based machine intelligence to mobile and edge devices using its revolutionary new platform, today 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.”