Many technologies go through a cycle of expectations, with high hopes often leading to disappointment. In recent times, AI ...

Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific ...

AI in daily life quietly powers devices we interact with every day, from smartphones and home appliances to navigation apps and wearables. Edge computing and tiny neural networks embedded in device ...

Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...

AI adoption and use are still evolving, and the technology itself is changing rapidly. What we know about AI and its impact on productivity growth and the economy remains uncertain. Transformations ...

Just like a fancy camera doesn't make you a photographer, just having access to powerful AI tools doesn't mean you're getting real value out of them. It's what you do with the tools—how you structure ...

The share of teachers using AI-run tools nearly doubled from 2024 to 2025, according to a national survey by the EdWeek ...

Grace comes to the major studio as generative AI poses both risk and opportunities for evolving media and entertainment content production across Hollywood. By Etan Vlessing Canada Bureau Chief ...

The bill would establish a 15-member task force to review the technology. It has the backing of the National Court Reporters ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

As companies restructure around AI, the real divide may not be timing - but how leaders manage fear, learning, and change.