In my previous article for the Forbes Technology Council, I argued that the rise of large language models (LLMs) and deep learning would be a renaissance for natural language processing (NLP), and I ...

49 human experts wrote ideas on 7 NLP topics, while an LLM model trained by the researchers generated ideas on the same 7 topics. The study paid US$300 for each idea plus a bonus of $1,000 to the top ...

As organisations move from AI experimentation to deployment, the differentiator is not which large language model you choose – it is whether you have fed the AI agent the right information at the ...

Artificial intelligence is often positioned as a silver bullet for solving healthcare’s capacity challenges—from managing patient volume to automating administrative work and supporting diagnosis. But ...

During the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) this week in Vienna, Austria, researchers from Bloomberg’s AI Engineering group in London are showcasing ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their capabilities are flattening rather than accelerating. That plateau carries ...

AI in oncology nursing remains in its early stages, but it’s already reshaping health care. This moment was evident at the 2025 American Society of Hematology Annual Meeting and Exposition, which ...

Organizations building AI-powered applications face a critical challenge: connecting and preparing enterprise data from hundreds of disparate sources before it can power intelligent search and ...

Today, Amtelco announced the release of Ellie™ an intelligent virtual agent (IVA) platform capable of handling caller ...

While organizations may be ready to unlock the full potential of their data for analytics and AI, challenges such as data silos, inefficient workflows, slow analytics, governance risks, scalability ...