![BioMiner systematically harvests large-scale bioactivity data-demonstrating a significant reduction in time and cost compared to manual curation of datasets like PDBbind v2016-and this expanded dataset, heavily skewed towards a limited distribution of proteins, substantially improves deep learning model performance when used for pre-training, as evidenced by consistent gains across five independent runs [latex] (n=5) [/latex].](https://arxiv.org/html/2604.21508v1/x3.png)
A new system leverages artificial intelligence to automatically extract crucial protein-ligand interaction data from scientific publications, accelerating the pace of pharmaceutical research.
New research reveals even short conversations with AI can subtly shift human moral judgments, raising questions about the potential for unintended influence.
A novel artificial intelligence framework is significantly expanding the search space for extreme-k dielectric materials, crucial components for next-generation electronics.
A new decentralized control algorithm enables safe and coordinated movement of swarms of long, heavy articulated vehicles, mitigating the risk of collisions and jackknifing.
New research shows that inclusive AI education programs can successfully equip individuals from diverse backgrounds with essential AI skills and ethical reasoning abilities.
Researchers are harnessing the power of large language models to create adaptable and strategically-minded AI opponents for interactive gaming experiences.
A new family of compact language models demonstrates surprisingly strong capabilities in using tools for real-world industrial applications.
New research tackles the challenge of smooth, coordinated movements in humanoid robots by enabling seamless transitions between complex fighting skills.
![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.
A new planning framework uses intelligent navigation and coordinated task allocation to allow multiple robots to operate efficiently in complex, cluttered environments.