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 ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

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.

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

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

In an era where AI decides which brands get surfaced, summarized or cited, the question isn't "How can I rank higher?" It is ...

By Bismark SAKYI The promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years. From reducing ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

AI tool enables developers to build and deploy robust, resource-intensive machine learning models on edge devices ...