March 2, 2009
featured blogs
May 25, 2023
Register only once to get access to all Cadence on-demand webinars. Unstructured meshing can be automated for much of the mesh generation process, saving significant engineering time and cost. However, controlling numerical errors resulting from the discrete mesh requires ada...
May 24, 2023
Accelerate vision transformer models and convolutional neural networks for AI vision systems with the ARC NPX6 NPU IP, the best processor for edge AI devices.
The post Designing Smarter Edge AI Devices with the Award-Winning Synopsys ARC NPX6 NPU IP appeared first on New Hor...
May 8, 2023
If you are planning on traveling to Turkey in the not-so-distant future, then I have a favor to ask....
featured contest
 Join the AI Generated Open-Source Silicon Design ChallengeSponsored by Efabless Get your AI-generated design manufactured ($9,750 value)! Enter the E-fabless open-source silicon design challenge. Use generative AI to create Verilog from natural language prompts, then implement your design using the Efabless chipIgnite platform - including an SoC template (Caravel) providing rapid chip-level integration, and an open-source RTL-to-GDS digital design flow (OpenLane). The winner gets their design manufactured by eFabless. Hurry, though - deadline is June 2! |
featured chalk talk
Solving Design Challenges Using TI's Code Free Sensorless BLDC Motor Drivers
Sponsored by Mouser Electronics and Texas Instruments
Designing systems with Brushless DC motors can present us with a variety of difficult design challenges including motor deceleration, reliable motor startup and hardware complexity. In this episode of Chalk Talk, Vishnu Balaraj from Texas Instruments and Amelia Dalton investigate two new solutions for BLDC motor design that are code free, sensorless and easy to use. They review the features of the MCF8316A and MCT8316A motor drivers and examine how each of these solutions can make your next BLDC design easier than ever before.