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

Uber Technologies Inc. has dismissed two tech leaders at its nascent AI data labeling business, shaking up a key division that the ride-hail company has positioned as a key growth driver.

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 ...

Supermarkets globally are pouring investment into their own brand food and drink ranges as they look to capture more customer ...

The body's organs are in constant communication. Fat tissue tells the liver when to store or release energy, the immune ...

Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...

Use these eight AI prompts to create clearer charts, graphs, and data visualizations across ChatGPT, Gemini, Claude, Grok, and other AI tools.

Data-annotation services are required to train a reliable AI model, but manual labeling is limited in terms of cost, privacy, and rare edge-cases. Using synthetic data synthetic data leads to ...

A hot potato: Meta's artificial intelligence ambitions are again drawing scrutiny – this time over what its smart glasses actually see, record, and send around the world for human review. Contractors ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...