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Forbes
The Top 20 IoT Startups To Watch In 2020
Eta Compute’s intuitive AI front end enables developers to acquire and label data and run neural networks on the ECM3532 at the push of a button, without ever writing a single line of code.
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Embedded Computing Design
Machine Vision in the mW Range Makes IoT Endpoint Inferencing Practical
This hybrid multicore architecture capitalizes on DSP dual memory banks, zero loop overhead, and complex address generation. With it any combination of workloads can be processed...
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Forbes
Eta Compute named Forbes top IoT Startups 2020
Eta Compute has been able to adapt quickly to the COVID-19 hard reset by offering a variety of licensing models designed to meet the unique needs of each industry they serve.
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The Ganssle Group
This Week’s Cool Product: ECM3532
Like some other vendors, [Eta Compute's] interest is putting a little machine learning capability at the "edge" - in a microcontroller right at the sensors. What makes them a bit different is their focus on doing this at extremely low power levels.
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SemiWiki
Ultra-Low Power Inference at the Extreme Edge
The most recent Eta Compute solution is realized in their ECM3532 neural sensor processor. This is a system on chip with an Arm Cortex-M3 processor and an NXP CoolFlux DSP, 512KB of Flash, 352KB of SRAM, and supporting peripherals. All of this is built with Eta Compute’s proprietary CVFS (continuous voltage frequency scaling) technology, operating near threshold voltage.