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 ...
VentureBeat

Snorkel AI looks beyond data labeling for generative AI

Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of generative AI, the role of ...
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., ...
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 ...
insideHPC

Why Partnerships Beat Outsourcing In Data Labeling

Data labeling is a critical part of AI. This essential process takes not only more than 25% of time and effort going into an ML project, but also requires an ever-growing amount of specialization and ...
EurekAlert!

Robust long-tailed learning under label noise

Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...