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2,752 papers
The effectiveness of modern artificial intelligence (AI) systems depends significantly on mechanisms for knowledge representation (KR) and use. Knowledge representation encompasses the methods and formalized models through which a computer system describes objects, facts, concepts, and the relationships among them. Alt...
Autonomous AI-Based Cloud Security Monitoring and Attack Prediction System Using Deep Neural Networks presents a comprehensive approach to modern cloud cybersecurity by combining cloud monitoring, artificial intelligence, deep learning, anomaly detection, attack classification, threat prediction, risk assessment, and a...
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The massive growth in computer chip complexity, along with physical limits like heat, has severely strained traditional chip design methods. Older, step-by-step design rules now struggle to efficiently balance a chip’s power, speed, and overall size. Because of this, regular computers (like standard CPUs and GPUs) wast...
The regulatory-readiness framework is expanded to incorporate OECD QSAR validation principles, chemical data curation, descriptor generation, applicability-domain assessment, scaffold-aware and prospective validation, explainability beyond SHAP, calibrated uncertainty analysis and AOP-linked mechanistic interpretation.
🧬 TRI-COUPLING SYSTEM EVOLUTION THEORY:PRACTICAL APPLICATION TECHNOLOGIES AT THE LIMIT From a Small Personal Experiment to an Adaptive, Falsifiable, and Transmissible Research Architecture Preface The tri-coupling system did not begin as a grand theory. It began as a small personal experiment. The original question wa...
China has introduced delayed retirement policies to sustain its pension system, threatened by population aging. We present theories to argue that such policies, if applied universally across the private and public sectors, may ironically exacerbate the problem by increasing rent-seeking, which decreases output and ta...
The correct time-course forecasting of the release of a drug contained in a drug-polymer matrix is difficult because drug dissolution is a complex process involving all formulation parameters, which are interdependent and have nonlinear effects. Although the predictive accuracy of machine learning (ML) models is high,...
🧬 TRI-COUPLING SYSTEM EVOLUTION THEORY:PRACTICAL APPLICATION TECHNOLOGIES AT THE LIMIT From a Small Personal Experiment to an Adaptive, Falsifiable, and Transmissible Research Architecture Preface The tri-coupling system did not begin as a grand theory. It began as a small personal experiment. The original question wa...
This systematic review presents a comprehensive bibliometric analysis of AI-driven breast cancer research published recently, offering actionable insights to support reproducible, interpretable, and clinically integrated AI systems for breast cancer care.
Background Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and restricted or repetitive behaviours. Early diagnosis is important for timely intervention, motivating increasing interest in computer-aided diagnostic systems based on neuroimaging data....
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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