VentureBeat

How to train ML models more efficiently with active learning

How much time is your machine learning team spending on labeling data — and how much of that data is actually improving model performance? Creating effective training data is a challenge that many ML ...
Business Wire

Iterative to Launch Open Source Tool, First to Train Machine Learning Models on Any Cloud Using HashiCorp’s Terraform Solution

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced a new open source compute ...
SiliconANGLE

Collaborative machine learning startup FedML raises $6M to train, deploy and customize AI anywhere

Collaborative artificial intelligence startup FedML Inc. said today it has closed on a $6 million seed funding round that will help it bring together companies and developers to train, deploy and ...

Scientists train brain-like models to learn from experience

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Security Boulevard

Your data, your model: Self-serve custom entity types in Tonic Textual

Tonic Textual’s new Custom Entity Types let teams define, train, and deploy entity models on their own data—no data science skills needed.