Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

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 ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

Now, the model has analyzed Colts vs. 49ers on 'Monday Night Football' and locked in three confident best bets for an NFL SGP ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...