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 ...
insideHPC

How to Organize Data Labeling for Machine Learning: Practical Approaches

Organizing data labeling for machine learning is not a one sitting job, yet a single error by a data labeler may cost you a fortune. Now, you probably wonder how do I ...
VentureBeat

Exploring the role of labeled data in machine learning

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More If there’s one thing that has fueled the rapid progress of AI and machine ...
Defense One

NGA deepens push into AI with country’s largest data-labeling effort

Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now, the ...
Forbes

Understanding Data And Open Source For Efficient AI Development

Dr. Jason Corso, Voxel51 co-founder and Professor of Robotics and Electrical Engineering & Computer Science. With investors—and customers—looking to see ROI, businesses that approach AI development ...
VentureBeat

Meta and Google researchers’ new data curation method could transform self-supervised learning

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As AI researchers and companies race to ...