Breaking Changes BoundaryForcing is now a wrapper over multiple constituent sources; the previous single-source class is available as BoundaryForcingSource. The wrapper takes the physics dataset as source plus a list of bgc_sources, exposes the constituent objects as .physics and .bgc (a list), and does not accept type...
Nora Loose, Tom Nicholas, ubbu36 et al.· Zenodo (CERN European Organi...· 0 citations
With the recent advancements in artificial intelligence, deep learning systems and applications have become a driving force in multiple transdisciplinary domains. While this evolution has been largely supported by the rapid improvements in advanced GPU cyberinfrastructure, comprehensive training materials are generally...
With the recent advancements in artificial intelligence, deep learning systems and applications have become a driving force in multiple transdisciplinary domains. While this evolution has been largely supported by the rapid improvements in advanced GPU cyberinfrastructure, comprehensive training materials are generally...
With the recent advancements in artificial intelligence, deep learning systems and applications have become a driving force in multiple transdisciplinary domains. While this evolution has been largely supported by the rapid improvements in advanced GPU cyberinfrastructure, comprehensive training materials are generally...
Tong Shu· Figshare· 0 citations
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Background Bipolar intuitionistic fuzzy graphs (BIFGs) extend fuzzy graphs by assigning both positive and negative membership and non-membership degrees to vertices and edges, capturing more nuanced uncertainty. The chromatic number of a BIFG, unlike that of crisp graphs, depends on the interplay of these bipolar param...
With the recent advancements in artificial intelligence, deep learning systems and applications have become a driving force in multiple transdisciplinary domains. While this evolution has been largely supported by the rapid improvements in advanced GPU cyberinfrastructure, comprehensive training materials are generally...
Abstract Given the state of a subject and the state of the environment he is in, under what conditions does the question "what should be done next" have a determinate answer, and where does that answer lie. This paper gives a computable form and marks out its domain of definition. First, location on three axes. The sta...
Qinfu Li· Zenodo (CERN European Organi...· 0 citations
The AV-IMAP Simulator is a MATLAB-based computational tool for evaluating solar irradiance and shading characteristics of agrivoltaic (AV) panel configurations. The model is developed to compute the spatial and temporal distribution of direct, diffuse, total ground irradiance beneath photovoltaic (PV) arrays, and AV an...
Saad Mahbub Chowdhury, Noor Mohammed Naushad, M. Ryyan Khan· Zenodo (CERN European Organi...· 0 citations
Author: Yoko Hasebe (Iwakuni, Yamaguchi, Japan) Date: September 2026 Classification: Open Architecture Specification & Technical White Paper Abstract: Modern cyber-physical infrastructure—encompassing power grids, telecommunications, and distributed energy resources (DERs)—is increasingly interfacing with frontier AI i...
洋子 Hasebe· Zenodo (CERN European Organi...· 0 citations
NO-ORDER. This is data-engineering and verification discipline. It is not a signal service, not investment advice, and makes no claim about returns. The engine described has never sent an order and is not built to send one. What this record contains A market-data pipeline built so that every stage carries a guard, and...
Iqbal Muhammad Yasin· Zenodo (CERN European Organi...· 0 citations
This white paper presents Project Amanda (Version 2.2), a novel decentralized neuromorphic hardware architecture designed to break through the constraints of conventional deterministic computing paradigms. Conventional neuromorphic computing relies excessively on cost-prohibitive pre-hardware perceptual training and cu...
tao Luo· Zenodo (CERN European Organi...· 0 citations
986 laser back-scatter scan records acquired from nine industrial materials with a sub-milliwatt Class II laser diode at 635 nm, together with a record-level manifest. The dataset accompanies the article Optical non-destructive identification of industrial materials from low-power laser back-scatter. Acquisition. A two...
Yusuf Soyçeken, Cansel Fıçıcı, Mehmet Cem Çatalbaş· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
