AMD’s Ryzen AI Halo makes local AI look easy, but at $4K, easy doesn't come cheap

A year ago the Ryzen AI Halo, AMD's tiny new AI workstation, would have offered devs and machine learning enthusiasts an ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
GitHub

Train machine learning models within a Docker container using Amazon SageMaker.

Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models.
IEEE

Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier

Abstract: The system operators usually need to solve large-scale unit commitment problems within limited time frame for computation. This paper provides a pragmatic solution, showing how by learning ...
TechCrunch

Kolena, a startup building tools to test AI models, raises $15M

Kolena, a startup building tools to test, benchmark and validate the performance of AI models, today announced that it raised $15 million in a funding round led by Lobby Capital with participation ...
IEEE

Machine Learning Assisted Stochastic Unit Commitment During Hurricanes With Predictable Line Outages

Abstract: Stochastic unit commitment is an efficient method for grid operation in the presence of significant uncertainties. An example is an operation during a predicted hurricane with uncertain line ...
GitHub

SMAC - StarCraft Multi-Agent Challenge

SMAC is WhiRL's environment for research in the field of cooperative multi-agent reinforcement learning (MARL) based on Blizzard's StarCraft II RTS game. SMAC makes use of Blizzard's StarCraft II ...