Скачать или смотреть Edge AI: Real Solutions for Real World Problems | Nilam Ruparelia | Microchip

There is high interest in using AI to solve practical issues in edge applications. However, implementing Edge AI is order of magnitude harder due to lack of access to data and models. And of course an Edge AI implementation has to address real world challenges including power consumption, heat dissipation, security, functional safety and supply longevity. These challenges need to be addressed with as much importance as AI models or algorithms. Microchip Edge AI solutions enable embedded engineer to successfully implement Edge AI.

Speaker Bio:
Nilam leads application and marketing group for Edge AI business unit at Microchip. For 25 years, Nilam has been driving success of microcontrollers, FPGA and ASICs in markets including AI as well as communication infrastructure.
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