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Neuromorphic chips to tackle AI’s power consumption

● Numerous studies are underway to develop chip architectures based on neural networks with the potential to meet the latency and energy consumption requirements of AI.
● The goal is to create autonomous embedded systems that no longer need to communicate with servers, which will benefit from much lower energy consumption.
● This new approach to computing, which makes use of processors with onboard memory, will drive innovation in the automotive, robotics and healthcare sectors.

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IoT Continuum: Smoothing the Way for the Deployment of Future IoT Solutions

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Nettoyer et explorer les océans… l’épopée des robots bio-inspirés

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AI assisted robot cooks

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Predictive maintenance: an AI that can interpret noises made by machines

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AI system for use in nursing homes alerts caregivers when it detects sounds of abnormal activity in rooms

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Trusted Execution Environments: A New Frontier in Telecoms Security

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