Designing Alloys with an AI Scientist
![OptiMat Alloys demonstrates an intelligent interface capable of comparing the elastic properties of complex alloys-specifically [latex] BCC Co_4Cr_{10}Fe_5Mo_{11}Ni_5W_{19} [/latex] and equiatomic [latex] FCC CoCrFeNi [/latex]-by retrieving and averaging data from a cached database of 10 configurations per composition, all achieved through natural language querying without requiring additional computational simulations.](https://arxiv.org/html/2604.21850v1/fig6_query.png)
A new agentic system combines artificial intelligence with physics-based simulations to autonomously explore and optimize the composition of complex metallic alloys.
Science
Coordinated Chaos: Smarter Paths for Teams of Robots
A new planning framework uses intelligent navigation and coordinated task allocation to allow multiple robots to operate efficiently in complex, cluttered environments.
Beyond the Hype: Rebuilding Agent AI with Data at its Core
Current agentic AI systems struggle with real-world enterprise applications, and this review proposes a fundamental shift in architecture to prioritize structured data access and reliable execution.
Surgical Robotics Gets a Boost from Massive New Dataset
![A comprehensive dataset encompassing 770 hours of synchronized multimodal demonstrations from 49 institutions across North America, Europe, the Middle East, and Asia supports the development of advanced healthcare robotics, specifically through training models like GR00T-H - a vision-language-action model for surgical autonomy - and Cosmos-H-Surgical-Simulator, a multi-embodied, action-conditioned world model leveraging data from 20 diverse robotic platforms including surgical systems [latex]\text{(da Vinci Si, dVRK)}[/latex] and adaptable manipulators [latex]\text{(Franka Panda, UR5e)}[/latex].](https://arxiv.org/html/2604.21017v1/x2.png)
Researchers have unveiled a large-scale, multi-modal dataset designed to accelerate the development of foundation models for surgical robotics and simulation.
Beyond the Algorithm: Reclaiming Creative Space
A new framework proposes that truly original art lies in exploring conceptual dimensions that generative AI cannot reach, emphasizing schematic thinking and the deliberate creation of novel outliers.
The Rise of Collective Intelligence: Empowering Agents for Complex Problem Solving
A new framework unlocks emergent group behaviors by focusing on maximizing each individual agent’s capacity to shape its own future.
The AI Illusion: How Ambiguity Drives the Hype
A new philosophical analysis reveals how strategically vague language around artificial intelligence fuels unrealistic expectations and obscures critical limitations.
Letting Go: How Robots Are Learning to Fall with Grace
Researchers have developed a new control mechanism that allows humanoid robots to perform complex, non-self-stabilizing movements by mimicking the way humans relax and control their bodies in free-fall.
Smarter Cities: AI Models Predict Comfort and Energy Use
A new framework leverages artificial intelligence to rapidly assess thermal comfort and building energy performance in hot urban environments.
X2-N: The Robot That Walks, Rolls, and Adapts
Researchers unveil a transformable humanoid robot capable of seamlessly switching between wheeled and legged locomotion for enhanced efficiency and versatility.