As the EU races towards net-zero, quantum computing, sensing, and communications offer game-changing solutions for energy optimisation, battery development, carbon capture, and green hydrogen ...
Abstract: Computing-in-memory (CIM) chips have demonstrated promising energy efficiency for artificial intelligence (AI) applications such as neural networks (NNs), Transformer, and recommendation ...
Abstract: The growing demand for efficient processing of highresolution camera data has driven the development of energyefficient on-device AI solutions. These systems leverage nearand in-sensor ...
The Global Neuromorphic Computing & Sensing Market 2026-2036 report unveils new frontiers in AI hardware, spotlighting brain-inspired processing technologies that offer unprecedented energy efficiency ...
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