Despite being well aware of Swift’s work ethic and determination, though, Heller says he was still taken aback when he ...

Abstract: We propose a scientific machine learning (SciML) algorithm toward 3-D dynamic digital twins, which represent multiphysics coupling effects in large-scale electronic chips. The SciML is a ...

Abstract: Multiple instance learning (MIL)-based framework has become the mainstream for processing the whole slide image (WSI) with giga-pixel size and hierarchical image context in digital pathology ...

Abstract: The practical industrial operation systems are not ideally immune to the effect of unmodeled dynamics and the industrial processes generally are operated at multitime-scales, which cause ...

Deep Learning-based embeddings are used widely for “dense retrieval” in information retrieval, computer vision, NLP, amongst others, owing to capture diverse types of semantic information. This ...