Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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 ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

IIT Madras Professor Mohanasankar Sivaprakasam has won the Rashtriya Vigyan Puraskar 2025 in the Vigyan Yuva category for his ...

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 ...

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).

Astrology has always been a curious hybrid of science, art, and interpretation. For centuries, astrologers have been mapping kundlis—charts drawn from the positions of planets and alignments of cosmos ...