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 ...

A new generation of aging tests is moving out of specialist labs and into everyday life, promising to tell you how old your ...

Introduction Self-harm and suicidal thoughts and behaviours are a significant public health concern. While individual risk factors have been widely studied, the role of social determinants in shaping ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

A team of researchers has generated one of the most detailed 3D maps of human chromosomes, cataloging over 140,000 DNA looping interactions.

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Artificial intelligence now replicates identities without data breaches. This poses a new challenge for India, where digital identity is crucial. Harm occurs even when privacy safeguards are intact.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

As AI remakes the travel industry, one acronym is sparking both excitement and confusion: MCP, or Model Context Protocol. But ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

This is the latest example of Amazon incorporating generative AI and LLM technology into its existing products and services.