Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Micro-learning platforms are monetising curiosity, leaning on subject-matter experts and creator-led at a time when the ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

When everyone has the same AI tools, judgment becomes the differentiator. Why pairing human skills with AI shapes better ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Every year, the NCAA Selection Committee faces the monumental task of seeding the NCAA Tournament, a decision heavily ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...