Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

The story of attention in AI is really the story of how machines learned to stop treating every bit of information as equally important. Early models tried to remember everything at once, which is ...

Rob Stewart, managing partner of GIP Australia, part of the BlackRock group, has played down the impact of the transformer ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

Medical imaging foundation models are ushering in a new era for precision oncology. By integrating massive multimodal ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Shop the hottest toys this holiday season. We rounded up the best holiday toys — digital pets, dolls, plushies, games, ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

The most immediate change in the new models is the introduction of adaptive reasoning. GPT-5.1 Instant, now the primary model for most ChatGPT users, evaluates the ...

With the key January renewals approaching, two notable provisions have seen a re-emergence within the insurance-linked ...