Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered ...

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 ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

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

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

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...

A recent machine learning update from Apple reveals how iOS 26 brings faster, safer AI that was trained without your texts, ...

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

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

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

A machine-learning model probes the relationship between a wine’s consumer rating and its chemical profile. The work provides ...