Operation Data Capture: Solving the Challenges of Battlefield Big Data and Mission Critical AI
by Amelia Dalton
In this week’s podcast, I investigate edge-based data capture and AI computing in military programs with David Freeman (Mercury) and Randy Hayes (VAST Data Federal). We discuss the challenges involved with big data, mission critical AI and machine learning applications in rugged environments and how a new data center-class, all-flash network-attached storage system can help solve these issues. Also this week, I check out a new autonomous off-road combat vehicle developed by DARPA that can drive as fast as a human driver and navigate extremely rugged terrain.
At CadenceLIVE Europe last year, Ludwig Nordstrom of AWS presented Scaling to 1 Million+ Core to Reduce Time to Results, with up to 90% Discount on Compute Costs . I think that there are currently two trends in EDA infrastructure that cut across almost all design tools. They ...
We explain embedded magnetoresistive random access memory (eMRAM) and its low-power SoC design applications as a non-volatile memory alternative to SRAM & Flash.
The post Why Embedded MRAMs Are the Future for Advanced-Node SoCs appeared first on From Silicon To Software...
Today’s automotive seat design must keep in mind size, cost, battery life and passing EMC testing. In this episode of Chalk Talk, Amelia Dalton and Rick Browarski from Infineon investigate the newest innovations in automotive electronic seat control. They take a closer look at the anatomy of power seats today, the role that an ECU plays in the control of electronic seats and how Infineon chip set offerings can help you with your next smart power seat design.