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

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 ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

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

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

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

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

Over the last two years, institutions of all kinds have been forced into a scramble of decision making on if, or how, to use ...

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...