Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

Existing research on AI for mental health has many limitations. A new study shows this. Yet research is vital, so we must recalibrate. An AI Insider scoop.

The FDA's decision on a chatbot for patients recovering from surgery could offer clues on how the agency plans to regulate ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Warnings from one of artificial intelligence’s most influential pioneers are colliding with a harsh business reality: most corporate AI projects already fail. When the so‑called “godfather of AI” ...

Artificial Intelligence is turning out to be the non-negotiable in everyday enterprise infrastructure – AI chatbots in customer service, copilots assisting developers, and many more. LLMs, the ...

Leaders at Michigan's universities tend to leave the regulation of artificial intelligence to departments and professors, stirring criticism.

Enterprise deployment of Generative AI depends on the seamless optimisation of hardware and software, driving higher performance at lower cost.

Stop hardcoding every edge case; instead, build a robust design system and let a fine-tuned LLM handle the runtime layout ...