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2,123 papers
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...
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.
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.
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It is argued that explainability, meticulous fairness auditing and mitigation are necessary conditions for reliable, inclusion-focused credit AI.
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.
In spring 2026, geopolitical tensions prompted the Pakistani government to mandate full online instruction (10 March–3 April 2026), followed by a hybrid schedule for the rest of the semester. This shift is treated here as an externally imposed crisis context for AI adoption, not as a natural experiment. No pre-cris...
Abstract Writer’s block remains a serious obstacle for undergraduate English as foreign language writers, particularly in low-resource Global South settings, where writing anxiety, linguistic insecurity, and unreliable internet access intensify the challenge. Researchers have shown growing interest in generative artifi...
Male factors account for almost half of all infertility cases and afflict approximately 186 million men globally, presenting a substantial and increasing public health burden. Semen analysis is the standard of care for assessing male fertility, but subjective visual interpretation results in > 25–30% inter-observer var...
[ Recommended — Download the Complete Package (ZIP FILE) from the Download Section for Research Purposes / Latest Industry Trends on AI Governance and AI Safety ] Short Summary of this Article Current Internet protocols move, encrypt, authenticate, delegate, and record data—but they do not generally answer one deeper q...
Purpose This study aims to examine how artificial intelligence (AI) readiness and digital pedagogical competence (DPC) are associated with lecturers’ perceptions of digital environmental governance innovation (DEGI) and perceived environmental performance in higher education institutions (HEIs). Moving beyond isolated...
A company is deciding whether to acquire another business. An artificial intelligence system examines financial records, market data and compliance risks, and recommends that the deal should proceed. The directors approve it. Months later, the acquisition causes serious loss. The board signed the resolution, but the mo...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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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