Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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 ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

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

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 ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

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 ...

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 ...