These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.

Earlier this year, Apple introduced its Foundation Models framework during WWDC 2025, which allows developers to use the company’s local AI models to power features in their applications. The company ...

iOS 26 includes multiple new Apple Intelligence features, but one of the biggest changes is that Apple has opened up its AI models to third-party developers. This allows third-party apps to plug ...

Some companies are working to remedy the issue. Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies. The findings, confirmed by ...

Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...

Microsoft reportedly plans to begin using Anthropic's latest Claude models to power some of the Copilot features in its Office 365 apps. In a report published Tuesday, The Information said the tech ...

Eli Lilly has developed artificial intelligence models that can help predict the behavior of potential drug candidates, based on the data the drugmaker has collected over the last two decades and at ...