Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Elevoc Technology announced that its co-founder, Professor DeLiang Wang, has been recognized in the 2025 ScholarGPS 'Highly ...

In 2026, neural network research is advancing in efficiency, adaptability, and workflow reasoning, yet the MLRegTest benchmark shows persistent weaknesses in rule generalization. Researchers are ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.