AI Summary: Researchers at Microsoft developed CARE-X, a unified chest X-ray vision-language model (VLM) that combines generative and discriminative capabilities to support diverse clinical interpretation tasks. CARE-X uses reinforcement learning to optimize clinical correctness and provides both free-text reasoning and deterministic outputs. The model was validated on real-world Indian clinical data and aims to address gaps in current radiology VLMs, including the need for calibrated confidence scores and clinically aligned optimization. CARE-X is a research model, not a product offering, and its results do not establish safety or effectiveness for clinical use.
Putting sign language AI into users’ hands
AI Summary: Researchers have developed a sign-language-to-text (SL2T) translation model that enables real-time sign language translation. The model powers sign-to-text dictation in Google's Gboard and Live Transcribe, initially supporting American Sign Language (ASL) to English. This technology allows Deaf users to interact with their devices using sign language, enabling features such as web searching, messaging, and task execution. The SL2T model is being integrated into consumer products, with additional languages and devices to be supported in the future.