Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...
The use of artificial intelligence for patient care is no longer a novelty. According to the 2024-2025 survey of the American ...
In 2026 (and beyond) the best benchmark for large language models won’t be MMLU or AgentBench or GAIA. It will be trust ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
2dOpinion
Getting AI To Confess Has Vital Uses Such As When LLMs Generate Ruinous Mental Health Advice
Should we force AI to give confessions, especially when dispensing mental health advice? Some say yes, others insist no. I ...
Tech companies that create large, advanced artificial intelligence models will soon have to share more information about how the models can impact society and give their employees ways to warn the ...
Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...
Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...
As 2025 ends, Indian startups pushed ahead despite capital constraints, shifting the ecosystem narrative from survival to ...
There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback