The development of high-performance, low-cost and low-consumption Edge AI solutions requires a broad range of skills in the development of non-volatile memories, sensors and circuits, including the development of advanced algorithms, such as incremental machine learning. CEA-Leti's Edge AI program relies on a multidisciplinary team, from several institutes, capable of providing competitive, made-to-measure solutions that can be industrialized quickly. The program brings together some 50 experts from various institutes, such as CEA-Leti and CEA-List.

​Artificial Intelligence is no longer an abstract concept, it already fuels our everyday life with communication tools (e.g Google 'Smart Compose' feature, Siri, etc). Tomorrow, AI will play a greater and perhaps a more important societal role, predicting and assessing our health risks, providing customer support, easing trafic congestion. Cars will be packed with AI features, including speech and gesture recognition, eye tracking, and so on. Some of these applications will require unprecedent responsiveness (e.g. braking systems). In such a context, the Cloud only will not do. AI will also need to be supported locally, meaning at the Edge. Algorithms will need to be processed locally, directly on the hardware device.

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