Basic data-labeling work — the kind built on tagging images or sorting text — is becoming obsolete, said the CEO of a $2.2 billion AI training firm. Jonathan Siddharth, the CEO of Turing, said on an ...

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

Data labeling plays a pivotal role within the ever-expanding realm of AI. This intricate process involves the meticulous tagging and categorization of raw data, encompassing various formats such as ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Marines conduct autonomous breaches with Assault Breacher Vehicles during the Robotic Complex Breach Concept experiment at Yakima Training Center, Washington, in April 2019. (Lance Cpl. Nathaniel Q.

Data-labeling startup Surge Labs Inc. is hoping to capitalize on the recent customer exodus at its main rival Scale AI Inc., and to do that it’s reportedly seeking up to $1 billion in venture capital ...

The National Geospatial-Intelligence Agency has released a solicitation for a potential $708 million contract to provide data labeling services to support critical GEOINT artificial intelligence and ...