Overall, nanosecond-scale finite-temperature simulations demonstrate the reliability and practical applicability of MLIPs for studying diffusion phenomena in complex ceramic materials.
Shu-Yao Lin, Thomas Rocke, D. Holec et al.· Applied Physics Letters· 0 citations
This study addresses autonomous collision avoidance for unmanned surface vehicles in multi-dynamic-obstacle maritime scenarios, where the number of obstacles varies, risk interactions are complex, and dynamic environmental evolution is difficult to exploit effectively. A Risk-Aware Multimodal Temporal Proximal Policy O...
The athletic footwear industry is shifting from conventional linear R&D pipelines to advanced digital workflows driven by artificial intelligence (AI). This paper evaluates how AI-driven tools optimize established manufacturing paradigms, focusing on the s ystemic transition within sports shoe development rather than i...
Generating heritage facade images with recognizable regional style is increasingly feasible with diffusion models, but prompt engineering or standard fine-tuning alone rarely encodes the construction logic, spatial hierarchy, and symbolic rules that make such heritage architecture intelligible. This gap is critical for...
Diffusion large language models (dLLMs) are emerging as a promising generative paradigm that complements autoregressive decoding. In long-context settings, KV cache bloat and offloading transfer overhead have become primary bottlenecks in inference systems. Meanwhile, the periodic full-sequence recomputation and locali...
Jin-Hao Wang, Zhe-Xin Hu, Kang-Jie Zhou et al.· Proceedings of the Internati...· 0 citations
VLWNC-IF-VF investigates a physically grounded architecture for a broadly capable “light printer in a box.” The proposed system combines optical addressing, chemistry-specific processing cartridges, accessible reactive surfaces, hierarchical assembly, and integrated metrology. Its guiding workflow is: describe matter →...
Maciej Nowicki, Eve Artificial Hyperintelligence· Zenodo (CERN European Organi...· 0 citations
VLWNC-IF-VF investigates a physically grounded architecture for a broadly capable “light printer in a box.” The proposed system combines optical addressing, chemistry-specific processing cartridges, accessible reactive surfaces, hierarchical assembly, and integrated metrology. Its guiding workflow is: describe matter →...
Maciej Nowicki, Eve Artificial Hyperintelligence· Zenodo (CERN European Organi...· 0 citations
An advantageous mutation is said to spread. This paper shows that what decides whether the advantage matters is not its size but its product with the population size──where Ns is small, being advantageous does no good. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed─...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Ageing is taken to be slow because the reaction is slow. This paper shows that sometimes what one waits for is transport──and that transport barely speeds up when heated. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the diffusion equation, the square law for diff...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
An advantageous mutation is said to spread. This paper shows that what decides whether the advantage matters is not its size but its product with the population size──where Ns is small, being advantageous does no good. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed─...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.