Neurons don’t just fire randomly—they have their own language, shaped by structure, chemistry, and timing. From dendrites to synapses, each part plays a role in how we think, feel, and remember. New ...

Why leading AI companies, Fortune 500 enterprises, and high-growth tech startups are choosing the Philippines as their ...

Car culture has long been split between those who trust a screwdriver and those who trust a laptop. On one side sit classic ...

Foundation models, including BERT [1], GPT [2], CLIP [3], LLaMA [4], and so on, have attracted considerable attention due to their exceptional ability in handling complex tasks. When it comes to ...

Designing aligned and robust rewards for open-ended generation remains a key barrier to RL post-training. Rubrics provide structured, interpretable supervision, but scaling rubric construction is ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. Willeke et al.

This issue, for discussion, broaches whether the WebNN system should be scalable to support incremental batch learning and/or fine-tuning. The motivating use case invites exploration into incremental ...

This is the second webinar in a two-part series. While the first session focused on different approaches to evaluating maps, in this session Priyanka Vyas, Ph.D. will focus on approaches to using maps ...

What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning on new tasks often introduces catastrophic forgetting ...