Robots that can operate in an open, unstructured environment and perform a wide range of tasks have been a long-standing goal of artificial intelligence. In this talk, I will go over how we can build such robots using tools from deep learning and reinforcement learning. In particular, I will address some of the key bottlenecks to applying deep reinforcement learning to real world domains like...

The creation of sophisticated fake videos has been largely relegated to Hollywood studios or state actors. Recent advances in deep learning, however, have democratized the creation of sophisticated and compelling fake images, videos, and audios. This synthetically-generated media -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision...

Beginning with Robert Brown’s original observation in 1828, various techniques have been developed to study the hydrodynamics and interactions of particles in solution. These techniques have inspired or been followed by development of theories that are capable of describing these fundamental aspects of micron-scale particles. Yet, many of the underlying assumptions break down at the nanoscale...

The last decade has seen a dramatic capture of digital material for machine learning production. This data is the basis for sense-making in AI, not as classical representations of the world with individual meaning, but as mass collections: ground truth for machine abstractions and operations. OpenAI’s GPT-3 language model is trained on a corpus of 1 billion words, ImageNet contains over 14...

The last decade has seen a dramatic capture of digital material for machine learning production. This data is the basis for sense-making in AI, not as classical representations of the world with individual meaning, but as mass collections: ground truth for machine abstractions and operations. OpenAI’s GPT-3 language model is trained on a corpus of 1 billion words, ImageNet contains over 14...

The inaugural ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’21) aims to highlight work where techniques from algorithms, optimization, and mechanism design, along with insights from other disciplines, can help improve equity and access to opportunity for historically disadvantaged and underserved communities. The conference is organized by the...