Lying at the core of human intelligence, relational thinking is characterized by initially relying on innumerable unconscious percepts pertaining to relations between new sensory signals and prior knowledge, consequently becoming a recognizable concept or object through coupling and transformation of these percepts. Such mental processes are difficult to model in real-world problems such as in conversational automatic speech recognition (ASR), as the percepts (if they are modelled as graphs indicating relationships among utterances) are supposed to be innumerable and not directly observable. In this paper, we present a Bayesian nonparametric deep learning method called deep graph random process (DGP) that can generate an infinite number of probabilistic graphs representing percepts. We further provide a closed-form solution for coupling and transformation of these percept graphs for acoustic modeling. Our approach is able to successfully infer relations among utterances without using any relational data during training. Experimental evaluations on ASR tasks including CHiME-2 and CHiME-5 demonstrate the effectiveness and benefits of our method.

App marketplaces are bridging the gap between AI creators and users. Words such as "democratize" and "ecosystem" are making their way from government and biology textbooks into the radiology lexicon, as a community of developers, engineers, and clinicians are interacting to establish AI marketplaces. These electronic storefronts are gathering places where vendors and consumers can share ideas and technology to create and use a variety of AI imaging tools. Within an AI marketplace, radiologists have equal opportunity to pick and choose from any of the available apps. They can also share feedback with developers as to how an app worked for them or even assist in the development of new apps customized for their clinical practices. And, they can be active participants in the development process without any knowledge of writing code. "With AI, there's a whole ecosystem of participants--industry leaders, health care startups, and research institutions--getting involved in creating apps and marketplaces where they can be made available to everyone," says Abdul Hamid Halabi, director of healthcare with NVIDIA.