Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

In this rapidly approaching reality, what tools will we need not just to survive, but to retain our humanity? We turned to ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

One thing has bucked the trend of rising prices: computing. Technological advances have underpinned a consistent drop in the ...

Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...

Researchers are turning human brain cells into tiny biocomputers. Here’s what the tech can actually do, what’s hype, and the ...

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

Some efforts to slash energy costs focus on using renewable sources, or on slimming down the AI models themselves. But ...

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

Research reveals why some images feel pleasing while others uncomfortable. The brain prefers visuals that cost less energy.

Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...