The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

AI is cementing itself as a vital, part of our world and it is clear there is a need to adapt to an AI world or risk getting ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

Overview Robotics has become one of the most transformative fields in recent times, shaping work, manufacturing, healthcare, ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Thinking about a career in semiconductors? It’s a field that’s constantly changing and super important for all ...

Cloud computing has really taken off, right? It’s pretty much everywhere now. But figuring out how all these systems work, ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...