The intersection of machine learning (ML) and electrochemical research is catalyzing transformative advancements in energy storage and conversion technologies. This review critically examines the role of ML and deep learning (DL) in optimizing electrochemical systems, focusing on batteries, supercapacitors, fuel cell...
Sourav Ghosh, B. Rani· Journal of the Electrochemic...· 0 citations
This work states that network medicine (NM), which models biological systems as dynamic, interconnected networks, enables integration of multiomic data and better characterizes disease mechanisms to guide precision therapies when combined with AI.
P. Portincasa, M. Khalil, P. Novielli et al.· European Journal of Clinical...· 0 citations
Modern chemistry is pushing the limits of traditional Artificial Intelligence (AI) models, placing unprecedented demands on data availability to address humanity's most pressing challenges. One particular concern is AI's dependence on large, curated data and its tendency to deviate from or misrepresent fundamental...
José Ferraz-Caetano, Filipe Teixeira, M. N. D. S. Cordeiro· WIREs Computational Molecula...· 0 citations
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The findings demonstrate that integrating statistical feature selection, supervised dimensionality reduction and regularized machine learning can provide highly accurate and interpretable models for leukemia classification, highlighting the growing role of artificial intelligence in precision oncology and public health...
Georgios Vasileiadis· Journal of Biomedical Advanc...· 0 citations
Measuring the waits a hiring process creates, and keeping the record it owes Four working days of internal approval are three weeks of silence on the other side, and almost every complaint about hiring is a complaint about that gap rather than about the decision at the end of it. Recruitment administration is a queue w...
Aisha Gunawan· Zenodo (CERN European Organi...· 0 citations
Cellular senescence is a fundamental mechanism of biological ageing that has emerged as a critical target for therapeutic intervention in age related diseases. The coalesce of artificial intelligence and senescence research provides unprecedented opportunities in advancing our knowledge and treatment approaches. This s...
Chanda Rajurkar, B. Murugan, Ganesh N. Pandian· BMC Medical Research Methodo...· 0 citations
AC-RPX improves predictive performance over conventional rule-based heuristic methods while providing clearer diagnostic explanations on real-world consumer data, establishing AC-RPX as a practical solution for automated refrigerant monitoring and decision support in real-world maintenance services.
Junwon Lee, Joonho Chang, Jinsoo Kim et al.· Scientific Reports· 0 citations
Pest infestations pose a life-threatening challenge to global tomato production, often resulting in devastating yield losses and economic instability. Traditional manual identification practices are subjective, labor-intensive, and prone to error. To address this, within the paradigm of Agriculture 5.0, we introduce a...
Mohammad Monirul Islam, Md. Anisur Rahman, Md. Masum Billah et al.· Scientific Reports· 0 citations
This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...
Tengfei Shao· Zenodo (CERN European Organi...· 0 citations
A systematic literature review analyzing 111 papers from scientific databases on integrating AI with MCDM/A methods offers both a conceptual consolidation for scholars and a structured foundation for the design of next-generation, human-centered intelligent decision support systems (IDSS).
Bruno Cicciú, E. Frej, A. D. de Almeida· IMA Journal of Management Ma...· 1 citation
Generative artificial intelligence (GenAI) and digital media have rapidly become central to how students study, yet journalism students, whose profession is defined by verification, accuracy, and originality, remain under-researched, particularly in the high-stakes context of examination preparation and in settings out...
Mercy Munene· Journal of Visual and Perfor...· 0 citations
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
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.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 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.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
