At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises ...

Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At the ...

1月13日消息，今日，DeepSeek发布新论文《Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models》 (基于可扩展查找的条件记忆：大型语言模型稀疏性的新维度)。

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

A longevity-linked metabolite restored key memory processes in Alzheimer’s models, highlighting aging biology as a promising therapeutic target. Singapore ranks among the countries with the longest ...