In this week’s episode of Fish Fry, Mario Bergeron (Avnet) and I are scanning the horizon to get a closer look at how FPGAs will shape the future of embedded vision. We explore why embedded vision is a killer app for SoC FPGAs and why there won’t be just one embedded vision to rule them all. Also this week, I check out a new 3D-printed material that changes texture on demand.

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Links for June 19, 2015

More information about the Embedded Vision Summit

Avnet Electronics Marketing Design Expert to Demystify SoC FPGA Development Methodology in Embedded Vision Summit Technical Presentation

New Episode of Chalk Talk: Connecting ZYNQ-7000 All Programmable SoCs with TE Connectivity Interconnect Products

Whitepaper: Locally and Dynamically Controllable Surface Topography Through the Use of Particle-Enhanced Soft Composites

Quickly and accurately identify inter-domain leakage issues in IC designs

Sponsored by Siemens Digital Industries Software

Power domain leakage is a major IC reliability issue, often missed by traditional tools. This white paper describes challenges of identifying leakage, types of false results, and presents Siemens EDA’s Insight Analyzer. The tool proactively finds true leakage paths, filters out false positives, and helps circuit designers quickly fix risks—enabling more robust, reliable chip designs. With detailed, context-aware analysis, designers save time and improve silicon quality.

Click to read more

featured chalk talk

Nexperia GaN Power Proliferating in All Things Motor Control/Drive

Sponsored by Mouser Electronics and Nexperia

In this episode of Chalk Talk, Art Gonsky from Nexperia and Amelia Dalton discuss the biggest challenges of electric motors and controllers and how GaN power solutions can help solve these issues. They also investigate how silicon, silicon carbide and GaN power solutions compare and how Nexperia and NXP technologies can get your next motor control design up and running in no time!

Click here for more information about Nexperia GAN039 CCPAK1212-Packaged Power GaN FETs

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Refocusing Our Embedded Vision

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