CNET

How Team USA's Olympic Skiers and Snowboarders Got an Edge From Google AI

Google engineers hit the slopes with Team USA's skiers and snowboarders to build a custom AI training tool.
The Next Platform

Taalas Etches AI Models Onto Transistors To Rocket Boost Inference

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, ...
Science News

Machine learning streamlines the complexities of making better proteins

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
Tech Xplore

'Learn-to-Steer' method improves AI's ability to understand spatial instructions

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
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 ...
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 ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
IEEE

On-Device Machine Learning Model Adaptation for 6G Communications: From Standardization to Over-The-Air Prototyping Experiments Based on Beam Prediction

Abstract: Adapting pretrained artificial intelligence and machine learning (AI/ML) models for on-device inference across diverse environments is challenging due to the extensive offline data ...