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 ...

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

Urban life increasingly depends on intelligent systems, because they manage both infrastructure and public services. For ...

As AI begins to garner greater traction across financial markets, industry experts from Janus Henderson, Tradeweb, ...

The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

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 ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

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 ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...