But a dozen or so AI insiders who talked to Fortune recently at Web Summit in Lisbon described a different future for AI.

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

In five years since AlphaFold's debut, it has transformed basic biochemical research. But its long-term effect on drug ...

With its "Flightpath 2050" strategy, the European Commission has outlined a framework for the aviation industry that aims to ...

As AI projects move from the realm of technologists to the business environment, major organisations including Telstra and Fonterra share how they are tackling legacy data issues to prepare for agenti ...

Abstract: In the framework of international development on fusion devices, the tokamak JT-60SA was equipped with superconducting magnets within a Europe-Japan collaboration. After a first integrated ...

This creates a continuous feedback loop where proven AI insights evolve into new operational rules, strengthening reliability ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...

Diego Jarne Munoz of PwC outlines how repeatable architectures, strong governance, and measurable use cases help enterprises ...

The time that has elapsed since I first learned about the large language models of artificial intelligence and today, where I ...

Many chief information officers at large companies are hesitant to put critical parts of their business operations in the hands of AI agents. That’s because when agents go off the rails, the damage ...