AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...

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

Science and Technology Daily, in collaboration with media partners and a panel of academicians from the Chinese Academy of Sciences and the Chinese Academy of Engineering, has selected the 2025 top 10 ...

Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality rates often exceeding 35–40%. Mechanical ...

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 ...