New York City Transit Authority and Amalgamated Transit Union (ATU), AFL-CIO, Local 726 (2005) (MOA) [PDF]
core +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
A multi-modal neuroimaging dataset on long-term cognitive training in school children. [PDF]
Mu J, Xu T, Xie Y, Chen F.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
The virtual indigenous data science academy: development of a summer program in data science for tribal college students. [PDF]
Smith CB +10 more
europepmc +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Robust motion detection and classification in real-life scenarios using motion vectors. [PDF]
Rehman SU +7 more
europepmc +1 more source
How primary and secondary schools help parents and carers to improve their child's learning : guidance for schools [PDF]
core
Hinging Prejudices and Stereotypes in Mathematics. [PDF]
Fairhurst J, Pérez-Escobar JA.
europepmc +1 more source
Factors influencing young people (aged 14-19) in education about STEM subject choices : a systematic review of the UK literature [PDF]
Bangpan, Mukdarut +5 more
core +1 more source

