The roles of information professionals are being redefined in the digital age, seamlessly bridging the gap between traditional knowledge management (KM) practices and cutting-edge AI applications.

As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, ...

I’m 50 years old, and through a series of bad life decisions, I have nothing set aside for retirement. Now that I’m finally in a better place financially, I’m getting to the age where people say to ...

WASHINGTON (AP) — The IRS erroneously shared the taxpayer information of thousands of people with the Department of Homeland Security, as part of the agencies' controversial agreement to share ...

The number of personal data compromises rose 5% last year — with 3,322 events in 2025 versus 3,152 in 2024 — a record, according to the Identity Theft Resource Center's new annual report. Even federal ...

According to its new privacy policy, TikTok now collects more data on its users, including their precise location, after majority ownership officially switched to a group based in the US. It's easy to ...

Jan 9 (Reuters) - Chinese AI startup DeepSeek is expected to launch its next-generation AI model V4, featuring strong coding capabilities, in mid-February, The Information reported on Friday citing ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

Nov 20 (Reuters) - SoftBank (9434.T), opens new tab plans to invest up to $3 billion to overhaul an electric vehicle facility in Lordstown, Ohio, which will produce equipment for OpenAI’s forthcoming ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...