Category: AI

Oura announced on Tuesday that it’s launching its first proprietary AI model to enable its AI chatbot, Oura Advisor, to deliver personalized insights around women’s health. The company says the model supports questions spanning the full…

Su said the warrant structure would help “make sure that we are always a clear seat at the table when [Meta] are thinking about what they need next.”

Meta’s chief executive Mark Zuckerberg said he expected AMD to be…

Companies are increasingly launching software to build and monitor AI agents in an effort to get enterprises to adopt AI. New Relic is no different. As the data observability company launches an AI agent platform of its own, it knows it isn’t…

• Four in five plan to increase investment in AI despite ongoing challenges
• Skills shortages and outdated learning systems are hindering growth
• AI is also being layered on top of jobs, instead of defining them, reducing its benefits

UK businesses…

Believe it or not, web search is still thriving as an industry. As businesses invest in using AI agents to make the most of their data, there’s demand for tools that not only scrape the web to inform what those AI bots do, but also return…

AI model updates don’t usually have wholesale massive improvements the way they did a couple of years ago, but Google’s upgraded Gemini model, Gemini 3.1 Pro, promised a subtle yet substantial enhancement to the Gemini 3 Pro model.

Gemini 3 was…

As we’ve covered before on TechRadar, a growing number of people are turning to AI chatbots like ChatGPT and Gemini for something they were never really designed to do: provide mental health support.

According to new research from suicide…

The Blake Lemoine incident is remembered today as a high‑water mark of AI hype. It thrust the whole idea of conscious AI into public awareness for a news cycle or two, but it also launched a conversation, among both computer scientists and…

In this article, you will learn what small language models are, why they matter in 2026, and how to use them effectively in real production systems.

Topics we will cover include:

• What defines small language models and how they differ from…

In the competitive arena of Multi-Agent Reinforcement Learning (MARL), progress has long been bottlenecked by human intuition. For years, researchers have manually refined algorithms like Counterfactual Regret Minimization (CFR) and…