Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts ...

Abstract: Ensuring quality in industrial production relies heavily on reliable defect detection, yet acquiring large volumes of annotated data remains cost-prohibitive—especially when rare or subtle ...

Abstract: We propose a UNet-based foundation model and its self-supervised learning method to address two key challenges: 1)lack of qualified annotated analog layout data, and 2)excessive variety in ...