The Lancet

When to and when not to use machine learning in risk prediction models

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

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...
Aalto University

Postdoctoral Researcher in Machine Learning and Room Acoustics

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 ...
Frontiers

Signal Processing for Representation Learning: Theoretical Foundations and Emerging Applications

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

What Is Machine Learning?

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 ...
Silicon Semiconductor

Keysight unveils Machine Learning Toolkit

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 ...