AI tools may slow down experienced developers instead of boosting productivity, according to a 2025 experiment.

From adoption to optimization, the next phase will drive innovation without compromising efficiency and sustainability.

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a rising interest in parsing out ...

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

As artificial intelligence tools move from testing to daily use, a shift is taking place across small and medium-sized ...

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Giant AI data centers are causing some serious and growing problems – electronic waste, massive use of water (especially in ...

The future of AI isn’t in a distant server farm – it’s in your pocket, finally awake, and it doesn’t need Wi-Fi to prove it, ...