Guide dogs are powerful allies, leading the visually impaired safely to their destinations, but they can’t talk with their owners — until now.

Using large language models, a team of researchers at Binghamton University, State University of New York has created a talking robot guide dog system that determines an ideal route and safely guides users to their destination, offering real-time feedback along the way. 

A research paper by scientists from Suining Central Hospital proposed a novel residual-guided spatiotemporal transformer with graph fusion enhancement (RST2G) framework for precise breast tumor segmentation in ynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

The new research paper, published on Mar. 23 in the journal Cyborg and Bionic Systems, developed a groundbreaking deep learning framework for precise breast tumor segmentation in DCE-MRI.

A research paper by scientists from Pohang University of Science and Technology developed a groundbreaking silent speech interface (SSI) that leverages computer vision-based strain sensing and AI-driven decoding to enable reliable communication in extremely noisy environments.

The new research paper, published on Mar. 23 in the journal Cyborg and Bionic Systems, proposed a reconceptualized SSI that reproduces voice by monitoring continuous multiaxial strain maps induced by throat muscle movements.