Science

Researchers have developed an artificial intelligence system capable of autonomously generating optimized nuclear reactor core designs, pushing beyond the limitations of conventional engineering.

A new framework uses artificial intelligence to identify conflicting social norms and provide explainable reasoning for ethical assessments of actions.

A new platform leverages machine learning to optimize industrial operations, predict failures, and empower real-time decision-making.

Researchers have successfully used physics-informed neural networks to create a detailed 3D reconstruction of the Martian induced magnetosphere and its dynamic response to solar wind.

Researchers are moving beyond prompting large language models to use tools, and instead focusing on architectures that allow agents to build and reuse reliable, deterministic code.

A new framework empowers artificial intelligence to autonomously analyze images for manipulation by leveraging a suite of forensic tools.

A new approach uses artificial intelligence to enable swarms of devices to adapt and maintain communication even under intense jamming attacks.

Researchers have developed AIE4ML, a complete system for translating neural networks into efficient instructions for AMD’s next-generation AI Engines.

A new system leverages advanced 3D reconstruction and data co-training to generate highly realistic simulated environments for assessing the performance of general-purpose robot policies.

New research suggests that intelligent agents, from humans to AI, aren’t simply maximizing rewards, but actively seeking out and capitalizing on prediction errors.