This practical guidance presents a procedure for installing and operating the CubeTechnology system in which artificial intelligence is used as a continuous assistant to the user at all stages of working with the system. The main distinguishing feature of the proposed approach is that the user provides ChatGPT, or anot...
Sergey Alekseevich Gritsenko· Zenodo (CERN European Organi...· 2 citations
Software archive accompanying the paper "Who Benefits from Federation? Heterogeneous Gains in Cross-Operator Network Traffic Representation Learning" by Mohammad Arafath Uddin Shariff and Byrav Ramamurthy (School of Computing, University of Nebraska-Lincoln), presented at the 13th International Workshop on Innovating t...
M A U Shariff· Zenodo (CERN European Organi...· 0 citations
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TNFR-Python-Engine is a Python framework for coherent-pattern analysis on graph-coupled networks. The nodal relation dEPI/dt = nu_f DeltaNFR organizes a declared evolution model; pressure, phase, capacity, support and any additional forcing require their own specifications. The engine provides 13 registered structural...
Martinez Gamo, F. F.· Zenodo (CERN European Organi...· 0 citations
Versioned research release of the BBB permeability prediction project. This release preserves the complete source code, experimental results, documentation, figures, and reproducibility materials for the project. Contents: Phase 3: 5-fold scaffold CV classical ML (RF AUROC 0.921+/-0.024) Phase 4: Chemprop GNN ensemble...
Devarshi Hatwar· Zenodo (CERN European Organi...· 0 citations
Versioned research release of the BBB permeability prediction project. This release preserves the complete source code, experimental results, documentation, figures, and reproducibility materials for the project. Contents: Phase 3: 5-fold scaffold CV classical ML (RF AUROC 0.921+/-0.024) Phase 4: Chemprop GNN ensemble...
Devarshi Hatwar· Zenodo (CERN European Organi...· 0 citations
This software deposit provides the English-language computational companion to EvoProto, a Python reference implementation of an evidence-gated framework for evolution-informed engineering design. It accompanies the manuscript “From Evolutionary Biology Data to Technological Prototypes: An AI-Driven Engineering Design...
Dmytro Prokopovych-Tkachenko· Zenodo (CERN European Organi...· 0 citations
Modern multi-agent architectures predominantly treat autonomous agents driven by Large Language Models (LLMs) as unmanaged application-level loops interacting through stateless, unbounded prompts. In long-running computing environments, this abstraction mismatch induces severe system-level pathologies, including nondet...
Hai Nguyen· Zenodo (CERN European Organi...· 0 citations
Co-Cr implant-supported frameworks fabricated by SM showed higher overall and marginal trueness than those fabricated by AM, while dimensional deviations in the bar connector were surface-dependent for both fabrication techniques.
Zi-Jing He, V. Bennani, J. Aarts et al.· The Journal of prosthetic de...· 0 citations
The implementation of DEMIS is described from conceptualization to deployment and evaluation as well as the associated challenges, which enable secure data exchange across many stakeholders and interoperable data processing across different software systems.
B. Suwono, Olaf Rode, Katarina Birghan et al.· JMIR Medical Informatics· 0 citations
Background. Whether a cell's molecular state before a perturbation predicts what happens to it afterwards is usually asked retrospectively, after outcome and state have been measured in the same cells. We ask it prospectively at clone level, in one BRAF-V600E melanoma cell line (WM989, GSE279162), in which a barcoded p...
Hagai Aviv· Zenodo (CERN European Organi...· 0 citations
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
