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 ...

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

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

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

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 ...

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

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 ...

USA News Group, There is a growing consensus in artificial intelligence that the models themselves are becoming interchangeable, and that lasting competitive advantage is shifting away from the model ...

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.

SenseTime co-founder Wang Xiaogang discusses the complexity of embodied intelligence through the lens of ACE Robotics.