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

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 ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

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 ...

Artificial intelligence is rapidly changing how scientists search for new catalysts—the materials that speed up chemical ...

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

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

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 rewrite biased language in written content ...

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

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...

Dognosis, a startup in Bengaluru, is using AI, motion sensor and dog treats to create a multi-cancer detection test.