1 citations · 2 across the 3 of their papers we have counts for
5 papers
Large Multimodal Models for Embodied Intelligent Driving: The Next Frontier in Self-Driving?
Long Zhang, Yuchen Xia, Bingqing Wei +4
The advent of Large Multimodal Models (LMMs) offers a promising technology to tackle the limitations of modular design in autonomous driving, which often falters in open-world scen…
UniLabOS: An AI-Native Operating System for Autonomous Laboratories
Jing Gao, Junhan Chang, Haohui Que +12
Autonomous laboratories promise to accelerate discovery by coupling learning algorithms with robotic experimentation, yet adoption remains limited by fragmented software that separ…
MuCol Milestone Report No. 7: Consolidated Parameters
Rebecca Taylor, Antoine Chancé, Dario Augusto Giove +459
This document is comprised of a collection of consolidated parameters for the key parts of the muon collider. These consolidated parameters follow on from the October 2024 Prelimin…
The Muon Collider
Carlotta Accettura, Simon Adrian, Rohit Agarwal +450
Muons offer a unique opportunity to build a compact high-energy electroweak collider at the 10 TeV scale. A Muon Collider enables direct access to the underlying simplicity of the…
MuCol Milestone Report No. 5: Preliminary Parameters
Carlotta Accettura, Simon Adrian, Rohit Agarwal +391
This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. The updated preliminary parameters follow on from the October 2…