Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

A study presents a machine learning approach to accurately detect ionospheric amplitude scintillations, a phenomenon that significantly impacts Global Navigation Satellite System (GNSS) signals. By ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Keysight Technologies has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite. This new solution reduces model development and extraction time from weeks ...