Minimizing Resource Usage in Microcontrollers for Cost-Effective Solutions

Explore a 38-minute technical talk that delves into resource optimization strategies for microcontrollers, focusing on Fine-Tuning approaches for neural network inference optimization. Learn how Apache TVM, an open-source machine learning compiler, can be leveraged to reduce device costs and energy consumption. Discover the advantages of implementing Micro TVM and Arm Ethos-U55 on Alif E5 SoC, along with detailed optimization results. Gain insights into future TinyML developments, including upcoming product innovations, network refinement techniques for maintaining accuracy, and advanced optimization strategies in the TinyML domain. Senior Fellow and Chief AI Architect Ilya Gozman from Grovety shares expertise on creating cost-effective solutions through efficient microcontroller resource management.