When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

The integration of machine learning with intelligent sensing tools enables high-accuracy state perception. This allows machines to interpret data on seedling health, soil condition, and crop readiness ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based ...

Jimmy Hu of Tensor Investment Corp shares insights on AI, blockchain, and how institutional trading strategies are evolving.

Security and safety go together, which brings up another unique component of AI-integration: cobots. Like AI, they’re being utilized more often in manufacturing, and they, too, need to be managed ...

Forget big data sets and giant models; a new machine learning architecture aces logic puzzles on minuscule training and ...

Artificial Intelligence is a controversial subject—though not for railroads when it comes to safety, if used properly. The ...

A team from the Hebrew University of Jerusalem has developed a low-cost, non-invasive method to estimate total leaf area in dwarf tomato plants using 3D reconstruction from standard video footage. The ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical ...

In effect, reasoning models are LLMs that show their work as they reply to user prompts, just as a student would on a math ...