Eta ships AI processor for sensor applications

February 13, 2020 //By Peter Clarke
Eta ships AI processor for sensor applications
Eta Compute, a startup that uses self-timed, ultra-low voltage electronics, has announced it is shipping its ECM3532 AI processor for embedded sensor applications.

Back in late 2018 Eta Compute Inc. (Westlake Village, Calif.) announced it was adding support for neural networks to its Cortex-M3 based microcontroller (see Eta adds spiking neural network support to MCU ).

At the time the chip was called Tensai and included a Cortex-M3 operating at up to 100MHz clock frequency and an NXP CoolFlux DSP capable of accelerating machine learning.

Now manifested as the ECM3532 the key specifications are:

As low as 100microW active power consumption in always-on applications

Neural Development SDK with TensorFlow interface

16b dual-MAC DSP with 96kbytes dedicated SRAM for ML acceleration

Cortex-M3 processor with 256kbytes of SRAM, 512kbytes of flash memory

A 5mm by 5mm 81-ball BGA package.

Both cores feature the company's patented Continuous Voltage Frequency Scaling (CVFS) and delivers power consumption of microwatts for many sensing applications.

Eta Compute has demonstrated the ECM3532 for image recognition and other edge sensing applications.

"This essentially eliminates battery capacity as a barrier to thousands of IoT consumer and industrial applications," said Ted Tewksbury, CEO of Eta Compute, in a statement.

Related links and articles:

www.etacompute.com

News articles:

Self-timed logic is Eta Compute's low-power secret

Eta adds spiking neural network support to MCU

BrainChip launches spiking neural network SoC

Neuromorphic computing runs on asynchronous Cortex-M3


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