Semtech Corporation announced a collaboration with Intel to develop optical semiconductor platforms for Light Detection and Ranging (LiDAR).

You now have an application to handle edge/IoT sensor data, make decisions locally, and actuate at the edge. You can even get the data back to your enterprise or cloud safely and affordably with that edge application.

Armv9 is here, and although it took nearly 10 years to arrive, it comes right at a major inflection point in the semiconductor industry where all of the major chipmakers have started dabbling in processor architectures outside of their heritage. The implications of this are currently being felt in more advanced use cases like the data center and high-performance computing, but the roadmap decisions of today – such as the massive emphasis on AI and ML workload processing in Armv9 that will surely continue under NVIDIA leadership – will  have significant ramifications for the embedded systems of tomorrow. And, oh yeah, what does NVIDIA’s potential stewardship of Arm mean for NVIDIA competitors who also happen to be Arm licensees, like Intel and Xilinix? Brandon and Rich discuss.

Part 1: Basics of Embedded Linux

Neousys Technology announced the release of its Nuvo-8108GC-XL, an edge AI GPU computing platform supporting the NVIDIA RTX 30 series GPU card up to RTX 3080 and Intel Xeon E, 9th/ 8th-Gen Core™ processors.

STMicroelectronics developed a tiny MEMS mirror with Intel enabling spatial scanning of an environment.

Nuremberg, Germany – On Monday, March 1st, 11:30am - 12pm CET, Intel’s Peter Fang will be presenting “ACRN: Bridging Orchestrator and Hard Realtime Workload Consolidation” at the first all-digital embedded world exhibition and conference.