Innovation news
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.
