Anthropic's Claude Sonnet 4.6 matches Opus 4.6 performance at 1/5th the cost. Released while the India AI Impact Summit is on, it is the important AI model ...

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

Employees at micro1, a human data company, have been offered cash bonuses between $500,000 and $2 million, to join rival ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the ...

The July uprising did not emerge from ideology alone; it reflected a deeper structural frustration: large numbers of educated and semi-educated young people facing narrowing pathways into stable work.

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...