New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Engineers and computer scientists are developing AI-powered robots that look and act human. Boston Dynamics invited 60 ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Researchers are devising technologies that help analyze and enhance human movement and performance.

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Deepfakes, synthetic media, and automated impersonation tools are increasingly used to manipulate individuals, organizations, ...

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

There is little doubt that AI can compress decision cycles and scale communication exponentially. Leadership at machine speed ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).