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2,387 papers
The study argues that trustworthy AI–Blockchain systems require more than technological guarantees: they require understandable explanations, appropriate human oversight, data governance, accountability mechanisms, and context-sensitive transparency.
Algorithmic bias presents a significant challenge to the responsible deployment of machine learning models across various sectors. This paper proposes a novel framework for algorithmic fairness auditing that utilizes Explainable AI (XAI) techniques to enhance transparency and accountability. The core idea is to systema...
IntroductionSearch engine optimization is changing rapidly as search engines become more sophisticated and users increasingly expect direct, relevant answers. Businesses in the United States now need more than traditional keyword optimization to compete for organic visibility. They must understand search intent, create...
This article analyzes the current state, practical applications, and promising development directions of artificial intelligence (AI) and machine learning (ML) technologies in mechanical engineering. The study examines the application of AI and ML methods in predictive maintenance, design optimization, manufacturing an...
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Artificial intelligence (AI) is presently a deciding force in business analytics evolution, revolutionizing how firms make choices, manage data, and power innovation. This chapter explains the application of AI in business analytics and its ability to enhance predictive capabilities, efficiency, and decision-making bas...
BACKGROUND Precision oncology faces three systemic bottlenecks: static molecular snapshots fail to capture tumor dynamics, patient‑derived organoids lack physiological reconstruction of the tumor microenvironment (TME), and artificial intelligence (AI) remains a "black box" in clinical decision‑making. This review aims...
The normalized Riemann Xi function is radially positive definite in exactly the integer dimensions one through nine. I locate the real number behind that integer and follow it as the theta source is tilted by a Gaussian. One fractional derivative of the source in the squared radius gives every inverse radial density, a...
This paper proposes a novel approach to machine learning utilizing Cognitive Graph Representation (CGR). CGR fundamentally shifts the paradigm by modeling knowledge and relationships within machine learning models as cognitive graphs. These graphs explicitly incorporate uncertainty, inference chains, and metacognitive...
Non-small-cell lung cancer (NSCLC) remains the leading cause of cancer death worldwide, and clinicians now face a rapidly expanding array of artificial intelligence (AI) tools promising earlier detection, better treatment selection, and more precise radiotherapy, yet few have altered what happens at the bedside. The pr...
A comprehensive open-access curriculum hub for Robotics and Autonomous Systems. Details the full mathematical and systems engineering architecture of modern robotics, including forward and inverse kinematics in $SE(3)$ space, spatial manipulator Jacobians, and Euler-Lagrange articulated dynamics. Synthesizes classical...
Cardiotocography (CTG) remains one of the most frequently used methods for assessing fetal wellbeing during labor, particularly in pregnancies requiring continuous intrapartum surveillance. Despite its widespread use, conventional visual CTG interpretation is limited by interobserver and interobserver variability, inco...
Abstract Digital therapeutics (DTx) represent an emerging category of evidence-based healthcare interventions that use software to prevent, manage, or treat diseases and disorders. Unlike conventional wellness applications, DTx are designed around therapeutic objectives and are expected to demonstrate clinical benefits...
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Oct 12, 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 AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
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