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.

Bentley Systems (NASDAQ:BSY) executives used the company’s fourth-quarter earnings call to highlight steady subscription-led ...

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 ...

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.

Accurate interpretation of cancer genomics depends on standardized disease classification, tumor characterization, and ...

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.

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...

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 ...

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.

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 ...