Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

“The AI+ Expo provided an excellent platform to showcase ORNL's advancements in AI for science and to highlight how AI is transforming the scientific discovery across theory, modeling and simulation, ...

Using machine learning, researchers found there have been over 86,000 hidden earthquakes beneath the Yellowstone Caldera ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

In this ever-expanding universe of subfields, a single, generalised undergraduate degree can begin to feel like a jack-of-all ...

Key Takeaways X, Facebook, and LinkedIn offer data roles across product, marketing, and AI.These jobs require strong skills ...

Magnetic hysteresis loss or iron loss in soft magnetic materials accounts for approximately 30% of energy loss in electric motors. This loss results in significant energy loss globally, representing a ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...