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 ...
Forbes

Scaling ML With LLMs: From Data Labeling To Synthetic Dataset Creation

Recent advancements in large generative models have resulted in widespread interest in their ability to act on complex instructions. These so-called foundational large language models (LLMs), e.g., ...
Washington Technology

Enabled Intelligence books $708M data labeling contract

Enabled Intelligence, an AI startup that focuses on computer vision algorithms and task automation, has booked a potential $708.3 million contract for data labeling services across the U.S. government ...
VentureBeat

Snorkel AI looks beyond data labeling for generative AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling has long been a critical component of helping data ...
insideHPC

Innodata Launches Data Annotation and Labeling Solution for Enterprises Requiring Complex Training Data for AI

Innodata Inc. (NASDAQ: INOD) announced the launch of its expertly managed data annotation and labeling services to accelerate the creation of training data for customers in key industries such as ...
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 considerable interest among researchers. The debate around the use of machine ...