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2,540 papers
As artificial intelligence (AI) increasingly supports human decision-making in high-stakes domains, designing effective human-AI collaboration becomes critical. Successful collaboration requires humans to reflect on decision-making processes and adjust their strategies accordingly. Current research typically investigat...
AI-text detection generally asks whether a machine wrote a text. As AI becomes an increasingly integral and accepted part of writing, the more relevant question is no longer whether AI was used, but how much of the text reflects human contribution. A prominent line of work estimates this by measuring how predictive a p...
Background Accurate prediction of 90-day outcomes following ischemic stroke is crucial for optimizing clinical strategies. This study aimed to systematically review and meta-analyze studies using deep learning (DL) and hand-crafted radiomics (HCR) models for predicting 90-day modified Rankin Scale (mRS) outcomes after...
A reproducible teaching lab about missing-name policies, uncertain strings, tied ranks and denominator choice in NYC DOHMH dog-license records. The archive contains the lesson and facilitator answers, a saved two-field public-data projection, Python standard-library reproduction and verification scripts, calculated CSV...
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This report explains the data, methods, and results of an AI-driven wind and solar energy forecasting and grid instability early-warning system. It uses hourly generation and weather records from 1 January 2020 to 30 November 2025. Models are trained on 2020 to 2024 data and evaluated on the held-out year 2025. The rep...
Alzheimer’s Disease (AD) is a progressive neurodegenerative condition wherein the early identification of Cognitively Normal (CN), Mild Cognitive Impairment (MCI) and AD is of importance to researchers. The different medical equipment used and data collection settings bring about differences that do not pertain biologi...
When a clinical AI system’s output differs from a human clinician’s judgment, what follows is consequential and underspecified. Current AI interfaces offer only a narrow lane for what happens next: they present the AI output (and its associated potential divergence) as an adjudicative choice for a human to accept, over...
This chapter builds AI literacy for leaders who have no technical background and no need to acquire one. The aim is judgment, not coding. It lays out a working map of the main technologies, from machine learning and deep learning through natural language processing, generative AI, computer vision, and robotics and expl...
Purpose This study aims to analyze the linear structural relationships and nonlinear predictive contributions associated with tourist satisfaction in the Trusmi Batik Tourism Area. By integrating PLS-SEM, ANN, and SHAP-based XAI, it evaluates how destination attributes function as hygiene or motivator factors. The ulti...
Organizations are adopting generative AI and AI decision support in professional work while evidence on their effects is still accumulating. Empirical studies document substantial productivity gains in some settings and losses in others, and practitioners carry assumptions formed during early use into everyday professi...
Respiratory diseases such as asthma, pneumonia, chronic obstructive pulmonary disease (COPD), tuberculosis, and COVID-19 require timely recognition and appropriate medical evaluation. Cough is a common symptom of many respiratory conditions and contains acoustic characteristics that can provide useful information for d...
Objective: The rapid digitisation of healthcare has necessitated the development of high-performance predictive models for clinical diagnostics. While traditional statistical frameworks such as Multiple Logistic Regression (MLR) are favoured for their intrinsic interpretability, they often encounter an accuracy ceiling...
General Science
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Earth AI
GPT-Lab
· gpt-lab.eu
Oct 14, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
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