Can Humans and AI Code Better Together?

A new benchmark reveals the limits of current AI coding assistants, but demonstrates how pairing them with human developers unlocks significantly improved problem-solving capabilities.

A new benchmark reveals the limits of current AI coding assistants, but demonstrates how pairing them with human developers unlocks significantly improved problem-solving capabilities.
A new framework utilizes the power of logical reasoning to identify hidden threats within the noise of system logs.

Researchers have developed a new system that uses artificial intelligence to design and create functional craft assemblies from simple text prompts.
As artificial intelligence rapidly advances, a critical debate emerges about who-or what-will ultimately be in control.
New research shows that effectively coordinating multiple robots in a warehouse setting requires more than just individual intelligence, and a specific reinforcement learning approach is leading the way.

A new approach to AI education prioritizes accessibility and broad understanding over technical skill, empowering students from all disciplines.

Researchers are tackling the data bottleneck in robotics by creatively transforming existing human video footage into synthetic humanoid data for training more robust AI systems.
A new framework combines tools from computational mechanics and diffusion modeling to provide a deeper understanding of how complex systems evolve.

New research explores the potential of AI-powered vision-language-action models to automate the complex process of extracting valuable components from e-waste.

A new perspective argues that truly ethical multi-agent AI systems require understanding the underlying computational causes of harmful emergent behaviors, not just observing them.