AI and Human Insight: A Powerful Pairing for Materials Discovery
A new framework combines the speed of automated experimentation with the nuanced judgment of human experts to accelerate the search for novel materials.
A new framework combines the speed of automated experimentation with the nuanced judgment of human experts to accelerate the search for novel materials.

A new review explores how simplified models can dramatically accelerate simulations of complex engineering systems, offering a path to efficient design and optimization.

New research explores how linking language to visual perception and action allows robots to perform complex manipulation tasks with greater flexibility and reliability.
A new approach allows robots to identify unfamiliar objects simply by observing how humans interact with them, paving the way for more adaptable and intelligent robotic systems.
![The ParT algorithm demonstrates performance scalability-as assessed against EFN, PFN, and ParticleNet-with its efficacy directly linked to both jet identification efficiency [latex]\epsilon_{sig}[/latex] and jet transverse momentum [latex]p_T[/latex].](https://arxiv.org/html/2603.12306v1/x4.png)
The ATLAS experiment is leveraging cutting-edge machine learning techniques to improve the identification and classification of hadronic jets, fundamental building blocks in high-energy particle collisions.

Researchers are leveraging structured skill representations to create robotic assembly systems capable of rapid adaptation and continuous improvement.

A new system called SciLire demonstrates the power of combining human expertise with artificial intelligence to dramatically improve the creation and curation of datasets from scientific literature.

A new system is exploring how artificial intelligence can move beyond simply retrieving information to actively collaborating with humans throughout the research process.

Researchers demonstrate an AI system capable of autonomously developing and simulating complex chemical processes, moving beyond traditional modeling techniques.

Researchers have developed ELLA, a social robot powered by generative AI, to engage young children in interactive storytelling and foster language development within the home environment.