Webcast
Sponsored by: Texas Instruments
Sep 21, 2022 9AM EDT(1 year, 7 months ago)
Machine learning inference has thoroughly penetrated embedded applications, especially with visual and spatial data like images and radar/lidar. Texas Instruments has a scalable processor portfolio for vision inference at the edge. From inexpensive Arm®-only solutions to computationally-efficient hardware accelerated solutions that deliver optimum combinations of performance, power efficiency and cost, our device performance levels range from 0.5 TOPS to 8 TOPS. With a large collection of pre-optimized AI models, no-cost and low-cost development tools, and a hardware-agnostic software programming environment, TI helps you bring your idea to realization on an embedded device in no time.
Webinar topics include:
• Scalable processor performance from 0.5 TOPS to 8 TOPS
• No-cost and low-cost development tools
• TI Model Zoo with free optimized models
• Hardware agnostic programming
• Edge Impulse partnership
Presented by: Reese Grimsley, Systems Applications Engineer, Texas Instruments (TI)