Last month, Silicon Labs introduced the first chips in its Series 3 platform — its vision for the future of IoT SoCs. The new ...
A research team led by Professor Sanghyeon Choi from the Department of Electrical Engineering and Computer Science at DGIST ...
As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.
BrainChip Holdings has announced the AKD1500 co-processor capable of delivering up to 800 giga operations per second (GOPS) while operating below 300 milliwatts, providing a power-efficient solution ...
Electronic Design has curated a series of white papers that help you understand NVIDIA’s 800-V DC power architecture for “AI ...
A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...
Abstract: Designing generalized in-memory computing (IMC) hardware that efficiently supports a variety of workloads requires extensive design space exploration, which is infeasible to perform manually ...
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