New AI model enable robots to perform unseen tasks, hinting at a shift toward general-purpose robotic intelligence.

Peterman’s book is that, for too long, Christians have been rude dinner guests, and that needs to change. Using the metaphor ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

This valuable study shows that combining reactivation-based training with anodal tDCS yields an unusually broad generalization of visual perceptual learning, while preserving robust learning gains and ...

Optimization is a crucial tool throughout science and technology. Large datasets and high dimensional problems create unique challenges for standard optimization techniques such as Newton’s method, ...

Enterprise tech leaders are done chasing the promise of all-in-one platforms. Right now, the question isn’t, "How do we do more with less?" It’s, "How do we do less but better?" As budget scrutiny ...

This study was supported by grants from the Brain Science and Brain-like Intelligence Technology-National Science and Technology Major Project (No. 2021ZD0203100); National Natural Science Foundation ...

Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora, allowing them to generalize effectively from just a few task examples. However, fine ...

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently ...

Not too long ago, the common assumption was that Black folks were lazy, shiftless, and hyper-sexed. That stereotype was an overt (and racist) generalization that ...