Two recent events should dramatically alter thinking and decision-making about the use of overseas AI models in the UK's critical national infrastructure, argues a new white paper from the University of Surrey. First, the U.S. government has demonstrated that its powerful AI models can be withdrawn from service by government dictate.

More than 100 organizations around the world, including ChatGPT maker OpenAI and rival Anthropic, have signed an open letter calling for a global effort to "strengthen cyber defenses" against AI-powered cybersecurity threats.

Modern cameras can capture an extraordinary amount of detail, producing images made up of millions of pixels that reveal textures, edges and colors invisible to earlier generations of digital photography. In poor lighting conditions, however, much of that information becomes difficult to recover, with pictures coming out grainy and details getting lost in dark patches of the frame.

Many AI technologies depend on accurately reconstructing dynamic 3D environments, from self-driving vehicles to immersive virtual reality. However, representing the wide variety of motions found in real-world scenes remains a fundamental challenge because no single dynamic representation can consistently model the diverse motions encountered in practice.

For decades, chess has served as a laboratory for studying intelligence and decision-making. It is well established that today's chess engines can outperform even the strongest grandmasters. But far less is understood about how their play actually differs.