Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Researchers have developed a fiber neural network system that performs intelligent processing of optical communication signals directly in the light domain. This approach integrates optical ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

As more organizations consider a mixture of experts strategy, it's important to understand its benefits, challenges and how ...

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black box of AI models.