Impacts1d
How to Choose the Right Framework for Training Machine Learning Models
The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...
Electronic Design57m
DeepSeek and the Challenges of Machine-Learning Investment
Improvements such as DeepSeek-V3 help squeeze more out of available hardware. This doesn’t eliminate the need for better ...
Machine learning and 3D printing yield steel-strong, foam-light materials
Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...
Balancing Control And Flexibility: Getting Data Governance Right
How can organizations ensure robust data governance and security while providing various departments with self-service data ...
unite1d
DeepSeek-R1: Transforming AI Reasoning with Reinforcement Learning
DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark ...
The Great Data Convergence
In a nondescript conference room, a senior data architect at a Fortune 500 retailer pulls up a dashboard that would have been ...
The Register on MSN4d
Mental toll: Scale AI, Outlier sued by humans paid to steer AI away from our darkest depths
Scale AI, which labels training data for machine-learning models, was sued this month, alongside labor platform Outlier, for ...
JD Supra1h
5 Questions with Jonah Berger: Using Artificial Intelligence and Machine Learning in Litigation
Questions is a periodic feature produced by Cornerstone Research, which asks our affiliated experts, senior advisors, and professionals to ...
Self-supervised learning approach can test 20 million cells or more
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...