In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

There are some tradeoffs when it comes to focusing on privacy ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

Educational platform announces expanded course programme addressing critical thinking, responsible use, and AI ...

Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

Large language models promise more efficiency in software development. But, despite all the promises, there are still a few things to consider when using them.

Overview: Senior machine learning engineers in tech earn $200,000–$350,000 for building large-scale production AI ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...