Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

AI experts are advising tech workers and students to embrace, not run away from, AI technology and machine learning.

Docker is an important tool for developers and for running apps across networks, and it has many uses for the pro and ...

Debates about AI are often argued in extremes, either as magic wands or existential threats. What’s missing from that ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The spread of generative AI has become background radiation, pitting players against studios and leaving its role uncertain.

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

The Man vs machine concept is the future of sport, whether we like it or not, but what do we want it to look like?

With a new year upon us, software-security experts disagree on SBOM utility — in theory, SBOMs are great, but in practice, ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...