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EE Times
Eta’s Ultra Low-Power Machine Learning Platform
Eta Compute has developed a high-efficiency ASIC and new artificial intelligence (AI) software based on neural networks to solve the problems of edge and mobile devices without the use of cloud resources.
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EE Web
Asynchronous MCUs and DSPs Target Mobile and Edge Devices
Eta Compute Inc., a company dedicated to delivering machine learning to mobile and edge devices using its revolutionary new platform, recently received its third U.S. Patent for its innovative self-timed technology, which supports dynamic voltage scaling.
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EE Times
Startup Runs Spiking Neural Network on Arm
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.”
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PR Newswire
AR Systems®, the future-proof supplier of software tools and services for embedded development, announces that it has been selected by Eta Compute, the company that removes power as an obstacle for the infinite Internet of Things (IoT), as the preferred tools vendor for its new innovative machine-learning SoCs. Using IAR Embedded Workbench® for Arm® with Eta Compute SoCs, developers will be able to fully leverage the power-efficient features of the SoC, boosting development of AI-based IoT applications.
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Embedded Systems Engineering
The Future of Machine Learning: Neuromorphic Processors
November 27th, 2018 By Narayan Srinivasa, Eta Compute Neuromorphic Engineering results as data- and power-hungry conventional machine learning architectures shift from the cloud to power- and data-efficient machine learning in mobile and edge devices.