Beyond Bulk Grade: Mineral–Flow Accessibility at the Pore Scale This release provides the code, analysis products, and reproducibility materials supporting the manuscript: Chakrawal et al., Beyond Bulk Grade: Mineral–Flow Accessibility Controls Pore-Scale Copper Recovery. Critical-mineral recovery is commonly interpret...
Abstract This paper establishes the grand unified framework of Data Physics and the paradigm of Anticipatory Entropic Coupling. Originating from applied thermal engineering in sub-3nm Direct-to-Chip (D2C) liquid-cooled AI clusters, the model resolves systemic thermal runaway by proving that in extreme-density processin...
Rajmund Olszewski· Zenodo (CERN European Organi...· 0 citations
Medical image segmentation is an important part of healthcare since it lets doctors clearly see anatomical features and diseased areas for diagnosis, therapy planning, and monitoring. CNN works fine with different types of medical images like MRI, CT and ultrasound for segmentizing it precisely. In this chapter all ava...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23197372. ## Summary This paper asks whether a language model already represents its memory needs — when to compress history, when to recall earlier evidence — in its hidden state b...
Karmendra Pandey· Zenodo (CERN European Organi...· 0 citations
Narrative gravity is a system-level diagnostic heuristic for explaining why some transmedia storyworlds remain coherent under platform fragmentation while others lose interpretive stability. The problem is not simply how stories circulate or whether a world possesses a stable core. It is what coherence looks like after...
This chapter examines scoring methods used in educational assessment from an epistemological perspective that focuses on how scores are generated. Accordingly, the methods are organized into three main categories: process-based scoring approaches, automated scoring, and comparative judgement. The first section discusse...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23181910. Major issues From the title: The phrase "drug resistance in host" is also unclear. It needs to be revised so as to reflect the paper's actual focus. The manuscript mainly...
Mabel Bolajoko Omoniwa, Paul Agabi ODEH· Zenodo (CERN European Organi...· 1 citation
It is demonstrated that the effectiveness of AICSR initiatives extends beyond their direct contribution to customer loyalty, revealing the interconnected mechanisms through which AI-induced CSR can generate broader customer value.
Ijaz Ahmad, R. Du· Asia Pacific Journal of Mark...· 0 citations
The framework enables logistics managers to identify high-risk orders before delivery completion and to understand the operational reasons behind each alert and can support decisions such as adjusting shipment modes, extending delivery buffers, prioritizing route monitoring and allocating escalation resources.
Abdulrahman Mohammed Ali Al-Ashwal, Jie-Long Huang· Journal of Modelling in Mana...· 0 citations
A unified, modular system integrating four layers: a blockchain-based transaction logging mechanism, an explainable artificial intelligence (XAI) fraud detection engine, a Mistral large language model (LLM) client for natural-language reasoning, and an AI agent for orchestration is presented.
V. Stojkovic· Proceedings of the 7th Natio...· 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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