Artificial intelligence security is entering a more complicated phase. The central challenge is no longer limited to preventing a model from generating an obviously prohibited answer. Increasingly, researchers and attackers are testing whether sophisticated prompting, coordinated accounts, model extraction, and other techniques can circumvent the protections surrounding advanced AI systems. Two recent developments illustrate the breadth of this emerging security problem. Researchers at...

The artificial intelligence industry is entering an infrastructure phase in which access to advanced computing hardware is only one part of the deployment equation. As AI factories expand from experimental clusters into production-scale environments, the practical limits of electricity, thermal management, water, grid connections, and facility design are becoming increasingly important. NVIDIA is addressing this challenge with NVIDIA DSX Ready, a qualification program designed to help AI...

For decades, biology has relied heavily on sequence similarity to determine what proteins do. If a newly identified protein resembles a known protein closely enough, researchers can often infer its family, cellular role, and possible biological significance. That strategy has been extraordinarily productive, but it has an important blind spot. Evolution can preserve a protein’s three-dimensional architecture long after its amino-acid sequence has diverged beyond recognizable similarity....