Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

When elephants are identified close to or on the tracks, real-time alerts are sent to locomotive pilots, station masters and ...

Artificial intelligence is revolutionizing waste management. AI-powered robots sort waste with high accuracy, improving ...

New research suggests that the way brain networks reorganize moment-to-moment predicts autism severity. Children who spent ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite ...

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 ...

Nigeria's relationship with AI is unique. Unlike markets that are purely importing software, Nigerian organisations have already ...