Browsing: nlp

The new desktop utility utilizes local visual context to resolve semantic ambiguity in speech-to-text workflows.

The quick-service chain is deploying automated speech-to-intent systems to optimize throughput and operational consistency at scale.

A KAIST research team provides quantitative evidence that large language models reproduce ageist stereotypes, highlighting the need for inclusive AI training frameworks.

The startup aims to resolve clinical data fragmentation by unifying patient-authorized health records for pharmaceutical research.

Researchers develop a calibration method to improve uncertainty estimation in clinical AI models, addressing critical gaps in diagnostic safety.

The new text-to-speech model from Xiaomi’s Kaldi team offers high-quality voice cloning across hundreds of languages, demonstrating superior performance in low-resource linguistic environments.