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

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 ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

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

Back in January, we published a post about the retirement of ingress-nginx and laid out what that means for teams still running it. We also gave a CNCF CloudNative Live talk a couple of years ago that ...

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 ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

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

As global robotics companies race to build physical AI, India's workers are supplying the human movements that teach machines ...

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 and AI training datasets ? in seconds.

After several examples of undisclosed alterations in reagent suppliers’ antibody catalogues surfaced, researchers call for ...