Speaking from his home in Washington, D.C., Fatsis reflects on the thousands of words that were added to the lexicon in 2025, ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

The recurring problems with AI Overviews stem from a design flaw in how the system works. As we reported in May 2024, Google ...

As the Trump administration looks to create a federal definition of ultra-processed foods, the question of the best way to ...

Contributing columnist Larry Smith explores how religion-based AI chatbots will influence people seeking answers about faith.

AI is transforming law practice, but ethical use is essential. Lawyers must ensure transparency, accountability, and follow ...

Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

At CES this year, the concept was bandied around a lot in different contexts. Is it a literal factory? A data center? A ...

AI is swallowing routine work. What remains—and what now differentiates leaders—are enduring human skills like emotional ...

For the lowest power consumption, MCUs are still preferred, and for high performance, MPUs are dominant. But that’s changing. In response to diversifying application needs, MCUs, MPUs, and system ...