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

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

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

For decades, car enthusiasts have cherished the thrill of the open road, the roar of the engine, and the precision of every turn. But what if the future of driving isn’t just about horsepower and ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.  ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.