Description: AI applications — including automotive vision and lidar, digital still cameras, surveillance, smartphones — are driving the need for more efficient neural network processing. The trick is getting GPU-level performance within an embedded power and cost budget. This session covers Synopsys’ new Neural Processing Units (NPUs) IP based on a novel architecture and trusted software tools which significantly improve hardware utilization, support the latest neural network trends and scale from battery-powered devices to L3-L5 autonomous driving. We will present inference benchmarks showing performance and power comparisons versus leading GPUs. We will also introduce the evolution of our MetaWare software toolkit to accelerate time to market, and we’ll demonstrate this new NPU solution.
What Will You Gain By Attending?
Who Should Attend?
Hardware Requirements: None
Location: Santa Clara Convention Center – Room 203/204
Refreshments: Lunch and afternoon snack will be provided
Learn about using the @NXP iMX 8M+ for visual AI: "Intelligent Vision for the Industrial, Automotive and IoT Edge with the iMX 8M Plus Applications Processor" by Ali Osman Örs at the Embedded Vision Summit, May 16-19, Santa Clara! #evs22 https://hubs.ly/Q01bbFr60
Remove the pain and guesswork from imager selection! Check out "New Imager Modules and Tools Enable Bringing High-Quality Vision Systems to Market Quickly" by Ganesh Narayanaswamy @onsemi at the Embedded Vision Summit, May 16-19, Santa Clara! #evs22 https://hubs.ly/Q01b97FM0