One of the first commercial capture systems built to give humanoid robots the 3D signals they use at inference: depth, ...

Automation reduces costs, but human oversight protects quality, trust, and brand reputation. Why the highest-performing teams are redesigning human input, not eliminating it.

Minimally disruptive genetic code expansion enables faithful, site-specific labeling of G3BP1 and TDP-43, revealing native stress granule dynamics and ALS-linked protein behavior in live cells.

Microsoft warns that MCP tool descriptions can be manipulated to redirect AI agents, exposing sensitive data through trusted ...

Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...

Integral transforms real-world data into AI-ready assets for training, labeling, and enterprise AI applications.NEW ...

Uber Technologies Inc. has dismissed two tech leaders at its nascent AI data labeling business, shaking up a key division ...

Seekr, the leader in explainable, defensible AI, today announced the launch of its partnership with Enabled Intelligence, the leader in high-precision AI data labeling, annotation, and data quality ...

California is making food labels less confusing by banning "sell by" dates. The new law starting Wednesday requires ...

The intelligent training data service market is expanding rapidly driven by growing AI use, demand for high-quality annotated ...

Sarvam's success shows that India can build foundational AI infrastructure. The bigger opportunity may lie in domain-specific AI built for Indian realities and emerging markets ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...