Two new AI developments improve breast cancer risk prediction and detection: a deep learning model using 3D mammography (digital breast tomosynthesis) shows superior 5-year risk prediction compared to traditional 2D mammography-based AI, while AIIMS Delhi has developed an AI tool to serve as a second reader of mammograms, now licensed to BPL Technologies.
Researchers from UC Santa Barbara and two other institutions have demonstrated that artificial intelligence can enhance the precision and predictability of visual prostheses, advancing the development of bionic eye technology for restoring vision.
A new scientific study published in Scientific Reports demonstrates a framework combining quantum computing with deep learning techniques to enhance cybersecurity threat detection and analysis capabilities.
Meta AI researchers have developed Brain2Qwerty, a deep learning model that non-invasively decodes typed sentences from brain activity using external sensors, achieving an 18% character error rate. The breakthrough, published in Nature Neuroscience, represents a significant advance toward non-invasive brain-computer interfaces for communication.
