Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

WebFX reports that mastering AI prompting is essential for effective use of LLMs, highlighting the importance of creativity, context, constraints, and clarity.

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Using AI to identify wildlife reveals a potential “transferability crisis”, researchers say. Marketing for AI imaging systems often suggests that models can easily tackle novel scenarios across ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Scraping the open web for AI training data can have its drawbacks. On Thursday, researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute released a preprint research ...

Current AI models are unlikely to be able to make novel scientific breakthroughs, Thomas Wolf, co-founder of Hugging Face said. One major issue with models now is that they often agree with the person ...