If you practice in advanced levels of power management, you know about dynamic voltage and frequency scaling (DVFS). This is where you allow some part of a circuit, say a CPU, to run at different voltages and frequencies depending on acceptable performance versus thermal tradeoffs and battery life on a mobile device. Need to run fast? Crank up the voltage and frequency to run a task quickly, then drop both back down to save power and allow generated heat to dissipate.
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.
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.
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 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.