Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.

Artificial intelligence tools and large language models are being deployed in infectious disease and critical care at a rate that outpaces the evidence base ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

Researchers at the Asian Development Bank found that advanced AI models like Gemini 2.5 Pro can significantly speed up ...

Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have demonstrated remarkable capabilities in answering ...

Generative artificial intelligence (AI) systems may be able to produce some eye-opening results but new research shows they don’t have a coherent understanding of the world and real rules. When tasked ...

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 ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

The advent of the evolutionary scale modeling (ESM) series of protein language models (PLMs) is a significant innovation in the convergence of large language models (LLMs) with protein representation.