Abstract Artificial intelligence (AI) is reshaping analytical chemistry by changing how instrumental measurements are processed, interpreted, optimized, and translated into chemical decisions. Modern analytical platforms generate high-dimensional spectra, chromatograms, mass spectra, images, and sensor signals in volum...
Achut R. Shinde· Zenodo (CERN European Organi...· 0 citations
The ACI 318-25 Concrete Beam Checking Assistant is a reusable Claude AI Skill for checking reinforced concrete beam designs per ACI 318-25 and gravity loads per ASCE 7-22, using US customary (imperial) units exclusively. The skill performs 10 sequential code checks, cites the specific ACI 318-25 section governing every...
In multi-agent AI systems, the output of one agent becomes the input of the next: a conclusion extracted today is reused in tomorrow’s analysis, and later decisions silently depend on both. When an upstream source is subsequently corrected or retracted, every downstream result that reused it is called into question — y...
Akhil Reddy Gaddam· Zenodo (CERN European Organi...· 0 citations
With the integration of generative artificial intelligence into short-video production, generative-AI-assisted healing short videos have become an emerging form of media content used by young audiences for everyday emotional regulation.However, the perceived emotional recovery associated with such videos may depend not...
Siyu Hu· Asia-pacific Journal of Conv...· 0 citations
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CRISPR-Cas12a Explainable AI (cas12a-xai) v0.1.0 Official code, data, and trained model release accompanying the manuscript: "Deciphering the Biophysical and Epistatic Determinants of CRISPR-Cas12a Guide RNA Cleavage Efficiency via Explainable Machine Learning" submitted to Bioinformatics (Oxford University Press). Key...
Minh Tran· Zenodo (CERN European Organi...· 0 citations
Artificial Intelligence (AI) has increasingly transformed academic evaluation by enabling automated assessment, intelligent feedback generation, plagiarism detection, and personalized learning support. The growing adoption of AI-driven evaluation systems has introduced new opportunities for improving the efficiency, sc...
Abhinaya Nagireddi, Sravani Bondalapati, Arsh Afroz Shaik et al.· Zenodo (CERN European Organi...· 0 citations
Introduction Research on generative artificial intelligence (GenAI) in higher education commonly describes use in terms of adoption or frequency. Students, however, may engage with the same systems in different ways. Methods This study conceptualises three GenAI usage orientations (Tool, Guidance, and Collaboration) an...
The opening chapters establish the historical and conceptual ground, tracing the evolution of artificial intelligence and then examining generative architectures, large language models and the practice of prompt engineering, before turning to interpretability, agency and responsibility.
Unhealthy dietary patterns remain a major modifiable contributor to the global burden of obesity, type 2 diabetes mellitus (T2DM), cardiovascular disease, and cancer. However, individuals can respond markedly differently to identical foods, limiting the effectiveness of one-size-fits-all dietary guidance. This review e...
Ya Zhang, Meijing Feng, Qiuyan Xue et al.· Frontiers in Nutrition· 0 citations
Employee attrition, burnout, and low engagement can affect workforce stability and organizational performance. This paper presents a Smart Employee Monitoring System (SEMS) that combines machine learning, explainable AI, and natural language processing to support employee-related analysis. The system evaluates employee...
TRUPTI PANIGRAHI, Dr. V. Aruna· International Journal for Re...· 0 citations
Gaps are explained by resonance. The protection of bodies is explained by resonance too. That one commensurability carries opposite consequences is set out here in distances. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Kirkwood gaps, the Hilda and Trojan gro...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The lung diseases like lung cancer, COVID-19, interstitial lung disease (ILD) and pneumonia still remain one of the leading causes of death in the world. There is a need for quick and precise diagnostic tools to overcome the existing disease diagnosis challenges. Despite the deep learning providing advances to traditio...
Anitha M. K., A. Gladston· Recent Research Reviews Jour...· 0 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
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.
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