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2,868 papers
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...
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...
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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...
The biological-grounding×translational-readiness (BG×TR) matrix is introduced, an NSCLC-specific framework that locates any AI model along these 2 axes and identifies the single next study required to advance it toward clinical use, showing that the field's most biologically grounded models are rarely its most clinical...
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...
This comprehensive review provides a detailed analysis of the 50 mSv annual occupational radiation dose limit as codified in the U.S. Nuclear Regulatory Commission (NRC) regulation 10 C.F.R. § 20.1201(a)(i). The paper traces the historical development of radiation protection standards from the early 20th century to the...
A Blog post by Dharma-AI on Hugging Face
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Nov 3, 2026
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
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