Traditional HPLC method development relies on trial-and-error, one-factor-at-a-time approaches that struggle to capture complex, multivariate interactions among method parameters, often resulting in suboptimal separations and transfer failures. While Design of Experiments and Analytical Quality by Design frameworks add...
M. V, Ramakrishnan M, Gokulamanikandan M et al.· International Journal Of Rec...· 0 citations
Current predictive maintenance architectures force a critical compromise between diagnostic precision and physical hardware constraints, routinely failing to deploy complex learning models onto resource-limited microcontrollers. The proposed framework dismantles the limitation through a decentralized, post-training qua...
A model of the universe developed with the assistance of GPT-6 Astra and Claude has survived its first global confrontation with cosmological data. Across supernovae, DESI measurements and the geometry of the cosmic microwave background, it obtains almost the same fit as the standard cosmological model: a chi-square of...
Ugo Lanciano· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) reshapes work practices and employee innovative behavior. Drawing on Organizational Adaptation Theory (OAT) and the Technology Acceptance Model (TAM), this study proposes the “Cognition, Attitude, Ability and Collaboration” (CAAC) framework to explain employee innovation in AI-enriched envi...
Yue Yang, Guoqian Xi, Liming Zhang et al.· Human Resource Development I...· 0 citations
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This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
Chaman Prakash Kanth· Zenodo (CERN European Organi...· 0 citations
Reproducibility artifacts for the meta-research study "Available but not runnable out of the box: execution prerequisites and label reporting in shared dysphagia and swallowing AI code." The protocol keeps the working title it was written under. We audited whether published swallowing/dysphagia-AI code is not only avai...
Sefa Tunçer, Nazife KAPAN· Zenodo (CERN European Organi...· 0 citations
Abstract The globalisation – new technologies, new innovations, industrial revolutions and internet – has influenced the direction and operation of the world’s economy in many aspects, particularly by enabling businesses and people to exchange efficiently, conveniently, rapidly, inexpensively their products, service an...
The GoHumanize Open Humanizer is a public research and educational model: a Qwen3-4B fine-tune (QLoRA) that rewrites AI-styled English prose into more natural human writing. This record archives the complete pipeline (Project Gutenberg sourcing and cleaning, AI-fication of inputs with three generators, training, evalua...
GoHumanize team· Zenodo (CERN European Organi...· 0 citations
Understand patent maintenance fees with 30-day audit vs lapse block strategies, plus preventive phases and AI predictive insights that cut downtime by 50%. Independent technical note mirroring the canonical version: https://iprs.cloud/blog/patent-maintenance-fees-explained-30-day-audit-vs-lapse-block.php
Priya Menon· Zenodo (CERN European Organi...· 0 citations
What This IsThe NUMEN Autonomy Integrity Suite is a complete formal verification framework that establishesa mathematically certified chain of trust for measuring behavioral safety in autonomous AI sys‐tems. It consists of five integrated layers:autonomy_eval.py (933 lines) — A behavioral health measurement tool that e...
Daniel Dragolich· Zenodo (CERN European Organi...· 0 citations
Listen and ask questions on Gemini Notebook: https://notebook.google.com/notebook/24794a74-bf93-42c1-a04e-fdb17d1f50c0?authuser=1 Good Soil Cannot Hold the Seed Yet: Mary Magdalene, Christ the New Adam, and the Father’s House offers a Catholic typological reading of Mary Magdalene’s encounter with the risen Christ in J...
Ryan MacLean· Zenodo (CERN European Organi...· 0 citations
This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
Chaman Prakash Kanth· Zenodo (CERN European Organi...· 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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