![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.
Researchers have developed a multi-task reasoning model that significantly improves predictive accuracy and reasoning capabilities in molecular science, pushing the boundaries of what’s possible with artificial intelligence.
Researchers are developing intelligent robotic guide dogs that utilize natural language to not only navigate environments, but also describe surroundings and respond to user queries.
![Accumulated insights progressively refine a complex workflow, demonstrated by a learning curve showing decreasing error [latex]AHC error[/latex] across multiple runs, an episode avoidance matrix revealing successful navigation around potential pitfalls, and a shift in tool usage from reactive infrastructure debugging to proactive physics exploration-suggesting that knowledge not only mitigates failure but actively guides discovery.](https://arxiv.org/html/2603.13191v1/x2.png)
New research demonstrates how equipping AI with persistent memory transforms them from task executors into autonomous researchers capable of independent scientific discovery.
A new approach intelligently balances network connections to maximize homophily – the tendency for individuals to connect with similar others.