The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...

There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...

A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations when they emerge so quickly. The release of DeepSeek roiled the world of ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

Sharma, Fu, and Ansari et al. developed a tool for converting plain-text instructions into photonic circuit designs with the ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...