Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...
Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...
Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
The COVID-19 vaccine was a triumph of science. Governments, researchers, and vaccine manufacturers worked in tandem to ...
Abstract: The significant increase in the amount of satellite data in recent years along with the increase in computing resources has opened up new possibilities for Earth observation (EO) data ...
Its first exhibit translates rainforest data into a sumptuous audiovisual experience, but without a strong thesis about data ...
The Vector Institute today launched UnBias-Plus, a free, open-source AI tool built by Vector's AI Safety research scientists that helps detect, explain, and ...
India, June 30 -- A recent news story highlighted how machine technicians in a textile factory in Nagpur have been strapped ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...
SunTec India completed a major data labeling initiative for a government-backed infrastructure consulting firm, processing more than 3 million annotations with sustained 99% accuracy. The dataset will ...