The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

你以为自己在搭知识库，其实 AI 每次都在从零开始，问题不在你，而是这套玩法本身就不对。 大神Karpathy 最近给出的最新解法是：不让 AI 一遍遍翻资料，而是让它长出一套自我进化的 Wiki。 从这一刻开始，你来负责想法，AI 负责沉淀，你和 AI 的关系彻底反转。

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...

Sustainability advocate and AI engineer Sathya Kannan has recently unveiled a framework that claims to be capable of reducing global carbon dioxide (CO₂) emissions leveraging AI neural networks. In ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

Chinese artificial intelligence lab Moonshot AI has raised $2 billion in funding at a valuation exceeding $20 billion.

Anker's THUS chips embeds a processors on memory chips to reduce the energy consumption. Apple has done something simililar ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...