Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

As artificial intelligence (AI) technology advances, the inherent limitations of conventional electronic processors in energy consumption and processing latency have become increasingly prominent.

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

Researchers from Hewlett Packard Labs, Indian Institutes of Technology Madras, Microsoft Research, and University of Michigan built an AI acceleration platform based on heterogeneously integrated ...

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models. However, the demand for ever-increasing power and computing capacity is ...