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.”
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.
Embedded Systems Engineering
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.
Embedded Computing Design
As IoT developers solve the connectivity, manageability, and security challenges of deploying devices at the edge, requirements now turn to making these systems smarter. Engineers are now tasked with integrating artificial intelligence (AI) into embedded systems at the far reaches of networks, which must minimize power consumption, communications latency, and cost while also becoming smarter.
Many startups set out with the goal of accomplishing a technical feat that was previously considered impossible. Quite frankly most do not succeed. Yet, occasionally a company comes along that succeeds with a game changing breakthrough. ETA Compute has done just this. Yet, even more impressively, this 3-year-old company has done more than just develop one “impossible” technological achievement, they have developed two.