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, ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

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 ...

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.

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 ...

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

Researchers at the University of Pittsburgh and Carnegie Mellon University collaborated to create a customized app based on ...

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 ...

By analysing videos of penalty kicks, a deep learning model was able to predict whether a shot would go to the goalkeeper’s ...