Conveners
Robotics and Embodied AI I
- Carlos Soto (Brookhaven National Laboratory)
Artificial intelligence (AI) and the potential emergence of artificial general intelligence (AGI) have important implications in nearly every societal, industrial, and scholarly sector. Existing AI technology – in the form of large language models (LLMs) – has shown great promise, and many in the AI technology and policy worlds argue that LLMs may scale up to AGI in the near future. This talk...
We are standing on the brink of an extraordinary transformation. Artificial intelligence is not just a reshaping technology. It also reshapes possibility. Yet even as this technological renaissance accelerates, our society faces many deep and urgent challenges. For example, nearly 3.4 million children in the U.S. require speech and language services under the Individuals with Disabilities...
Accurate segmentation of subcellular organelles is a fundamental yet persistent challenge in biological image analysis due to diverse imaging modalities and biological variability. Existing tools and machine learning models are often limited by their specificity, requiring retraining with large, annotated datasets and offering limited adaptability. In response, we introduce a novel,...
Applications of Machine Learning can give us powerful coding assistants, and rival gold medalists at the International Mathematical Olympiad (IMO). So why don’t we have a basic robot butler in every home? In this talk, I will argue that to make progress on this problem we will have to focus on the distinction between interpolation and extrapolation in robotics. Then, I will talk about how to...
