Cutting the AI Power Cord - Technology to Enable True Edge Inference

Explore cutting-edge technology for enabling true edge inference in AI and deep neural networks through this tinyML Talks webcast. Discover how Maxim Integrated is developing solutions to power embedded devices with intelligence while running on battery. Learn about the Max78000 accelerator, microskernels, data manipulation techniques, and memory improvements that contribute to efficient AI implementation at the IoT edge. Gain insights into streaming capabilities, natural delivery methods, and the Cube Camera project. Compare hardware and software benchmarks, understand the development flow, and access resources on Github. Engage with the speakers during the Q&A session and learn about the sponsors supporting this innovative work in embedded AI technology.

Intro
Introducing Kristopher
Embedded Learning
New Accelerator
Max78000
Micros
Kernels
Data Manipulation
Memory Improvements
Streaming
Natural Delivery
Cube Camera
Benchmarks
Hardware vs Software
Development Flow
Github
Questions
Sponsors