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 ...

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 ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a unique set of tokens understood only by each model. Until recently, there was no ...

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 ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

Although machine learning (ML) techniques have advanced malware detection, they remain vulnerable to adversarial attacks. Current research primarily focuses on adversarial examples targeting single ML ...

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