As manually annotating biological and medical data becomes increasingly challenging, artificial intelligence is stepping in to unlock insights through methods that learn without constant human guidance.
A new framework prioritizes user needs – safety, privacy, and comfort – to pave the way for seamless and trustworthy robotaxi experiences.
A new critical framework urges artists to move past technical demonstrations and confront the ethical and socio-political implications of generative AI.
This review explores the latest innovations in amphibious robotics, charting the progress towards versatile machines capable of seamless transitions between terrestrial and aquatic environments.
A new framework automatically extracts the underlying physical laws governing events in videos, offering a path toward interpretable AI and deeper understanding of visual phenomena.
New research reveals that even when given the same data, different AI-powered analysts arrive at surprisingly diverse conclusions, mirroring the inconsistencies often seen in human research.
A new, affordable robot platform powered by large language models is opening doors for researchers studying how physical form impacts human-AI trust and engagement.
A new imitation learning approach allows robots to acquire complex manipulation skills simply by observing human demonstrations in video.
Artificial intelligence is poised to reshape how we teach and learn science, but realizing its potential requires careful consideration of ethics and equity.
A new approach to human-robot interaction prioritizes long-term relationships and adaptability over short-term tasks.