A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

Built on App Orchid’s semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust. SAN RAMON, CA / ACCESS Newswire / October 29, 2025 / ...

Using machine learning to detect problem gambling and fraudIssued by Reinart NienaberJohannesburg, 27 Oct 2025 Betting companies train machine learning programs to monitor players’ behaviour. AI ...

University of Birmingham experts examine the implications of ‘climate AI’ - can machine learning outperform traditional climate models?

Large language models (LLMs) such as ChatGPT and other generative systems are statistical prediction engines, not conscious ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

Over the summer, YouTube angered creators when it quietly used machine learning to enhance the clarity of Shorts ...

The research highlights that energy–food market connectedness is highly crisis-sensitive, expanding dramatically during ...

“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

By this metric, many chatbots are already "intelligent." You can test this yourself at Turing Test Live. Recent studies from ...

Apple's iPhone development roadmap runs several years into the future and the company is continually working with suppliers ...

CODA and top Japanese officials have asked OpenAI to stop training its Sora 2 video-generation AI on copyrighted material.