Science

A new architecture integrating cloud computing and advanced sensing is poised to unlock the full potential of autonomous mobile robots in industrial logistics.

A new dual-AI system, Artism, explores the creative process by not only generating art but also subjecting it to algorithmic critique, revealing the underlying patterns of post-digital aesthetics.

Researchers have developed a new vision-language model that allows robots to navigate complex environments while understanding and respecting human social norms.

This review explores how intelligent AI agents, powered by large language models and reinforcement learning, are optimizing the synergy between communication and environmental sensing for next-generation networks.

New research explores how synchronizing a robot’s movements with a user’s breathing patterns can create a stronger sense of connection and control during teleoperation.

Researchers have developed a novel swarm intelligence algorithm, CyberSwarm, inspired by the dynamics of online communities to improve the accuracy and adaptability of recommendation systems.

A new evaluation framework assesses whether large language models can move beyond data recall to actually contribute to the process of scientific discovery.

A new computational framework offers a way to proactively analyze and improve coordination between humans and robots in complex tasks.

New research demonstrates that artificial intelligence is capable of automating the discovery of system algorithms, challenging traditional approaches to performance optimization.

The environmental impact of large language models isn’t just about powerful servers-it’s deeply intertwined with how we design conversations with them.