Artificial intelligence is increasingly becoming a governing medium through which institutions classify persons, allocate opportunities, structure work, produce knowledge and mediate public trust. Current AI governance frameworks emphasise risk classification, technical assurance, transparency, accountability and human...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
The logistics sector in India is in the middle of a dramatic change as India progresses to its vision of a US 26 trillion economy by 2048. The sector, known for its high costs, is fragmented in terms of supply chains, with a significant environmental footprint, and growing pressure to meet global ESG commitments and In...
Diagnosing leukaemia from microscopic blood smear images is nevertheless challenging for traditional Computer-Aided Diagnosis (CAD) systems. Many current methods depend on segmentation and basic feature representations. This makes it hard to tell apart morphologically similar subtypes. This work presents an extended hy...
This study examines how higher education educators perceive artificial intelligence (AI) as both a coping resource and a catalyst for career development. Grounded in the Stimulus-Organism-Response (S-O-R) framework and integrating Social Cognitive Career Theory (SCCT) with Lazarus and Folkman's Stress Theory (L&FST), t...
Sandeep Kumar Dey, Haywantee Ramkissoon, Shuvam Chatterjee et al.· Social Sciences & Humanities...· 0 citations
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This dataset contains thermal images of fruits for automated bruise detection and classification tasks using deep learning methods. The dataset includes two fruit types: apple and tomato, each categorized into bruised and healthy classes. The dataset is organized into a hierarchical folder structure as follows: - apple...
JU-TB is a large-scale, single-modality chest X-ray (CXR) dataset curated for binary tuberculosis (TB) detection, designed to support robust benchmarking of deep learning models. The dataset contains 55,336 high-quality CXR images categorized into TB-positive and Normal classes, making it one of the largest publicly av...
Rapid urbanization and increasing waste generation have created significant challenges for urban waste management, particularly in improving collection efficiency, waste classification, recycling, and environmental monitoring. Al though Artificial Intelligence (AI) offers promising solutions, the lack of transparency i...
Dwi Apriliasari, Qurotul Aini, Nesti Anggaraini Santoso et al.· ADI Journal on Recent Innova...· 0 citations
This Jupyter Notebook presents a comprehensive pipeline for predicting hospital readmissions in diabetic patients using the "Diabetes 130-US hospitals" dataset. The study focuses on the dual challenge of model performance and ethical AI. Key features of this notebook: Preprocessing: Handling of missing data and categor...
Paola Sanchez Sanchez, José Rafael García-González, Alejandro Corrales-Barrera· Zenodo (CERN European Organi...· 0 citations
The Ethical AI Governance Framework for Adaptive Learning (EAGFAL) is developed to address governance gaps and ensure fair, transparent, and responsible AI adoption in education.
C. Umoke· INTERNATIONAL JOURNAL OF APP...· 5 citations· ⚡1
Replication package and working paper for When a Deed Is Not a Market Sale: Foreclosure Transfers, Statutory Consideration, and Repeat-Sales House-Price Measurement, by Pablo Loschi (independent researcher, Berlin). When a lender takes title through a referee's foreclosure deed, a deed in lieu or a transfer between len...
Pablo Loschi· Zenodo (CERN European Organi...· 0 citations
In this study, IPO underpricing in a fixed-price market is examined through two distinct objectives: (1) a predictive objective identifying the machine learning model that best generalizes out-of-sample, and (2) an economic interpretation objective using model-agnostic interpretability tools (SHAP) and formal statistic...
Ali Albada, Rabie A. Ramadan, E. Abusham et al.· Discover Artificial Intellig...· 0 citations
CompSphere AI: An AI-Powered Compliance Intelligence Platform for Chartered Accountants This research paper presents a structured literature review of artificial intelligence technologies for improving compliance, auditing, and financial document processing workflows performed by Chartered Accountants (CAs). The study...
Joslyn Gracias e Vaz, Harsh Sharma, Vishal Yadav et al.· 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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