Videos
See AI2's full collection of videos on our YouTube channel.Viewing 61-70 of 252 videos
Why Natural Language is the Right Vehicle for Complex Reasoning
May 11, 2022 | Greg DurrettAbstract: Despite their widespread success, end-to-end transformer models consistently fall short in settings involving complex reasoning. Transformers trained on question answering (QA) tasks that seemingly require multiple steps of reasoning often achieve high performance by taking "reasoning shortcuts." We…Data Leverage: A Framework for Empowering the Public and Mitigating Harms of AI
May 10, 2022 | Nicholas VincentMany powerful computing technologies rely on both implicit and explicit data contributions from the public. This dependency suggests a potential source of leverage for the public in its relationship with technology companies: by reducing, stopping, redirecting, or otherwise manipulating data contributions, a…
Doing for our robots what nature did for us
April 29, 2022 | Leslie Pack KaelblingWe, as robot engineers, have to think hard about our role in the design of robots and how it interacts with learning, both in "the factory" (that is, at engineering time) and in "the wild" (that is, when the robot is delivered to a customer). I will share some general thoughts about the strategies for robot…
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
April 21, 2022 | Swaroop MishraThis video explains the paper "https://arxiv.org/abs/2104.08773". Abstract:Humans (e.g., crowdworkers) have a remarkable ability in solving different tasks, by simply reading textual instructions that define them and looking at a few examples. Despite the success of the conventional supervised learning on…
Generalization for Robot Learning In The Wild
April 15, 2022 | Deepak PathakHow can we train a robot that can generalize to perform thousands of tasks in thousands of environments? This question underscores the holy grail of robot learning, more generally machine learning, research. Current AI systems are incredibly specific in that they only perform the tasks they are trained for and…
Robots Need To Reduce, Reuse, and Recycle
April 1, 2022 | Chelsea FinnDespite numerous successes in deep robotic learning over the past decade, the generalization and versatility of robots across environments and tasks has remained a major challenge. This is because much of reinforcement and imitation learning research trains agents from scratch in a single or a few environments…
Synthetic Data for Language-Guided Agents
March 18, 2022 | Peter AndersonRecent advances in vision and language modeling have been powered by truly massive datasets, often mined from the web. Instruction-following robots will also require large amounts of data to train and evaluate. However, images/videos/documents found on the web do not satisfy the needs of embodied agents, and data…
Soft Robotics and AI towards Embodied Intelligence
March 4, 2022 | Fumiya IidaSoft robotics research has made considerable progress in many areas of robotics technologies based on deformable functional materials, including locomotion, manipulation, and other morphological adaptation such as self-healing, self-morph, and mechanical growth. While these technologies open up many new robotics…A Flexible Framework for Machine Learning
March 2, 2022 | Ferran AletIn this last decade, we have seen a lot of progress in AI and Machine Learning using different variations on a single recipe: we specify a task as learning a function mapping inputs to outputs and we train a single neural network to approximate it. In this talk, I will show that this one NN per task framework can…
The Future is Hear: Advances in Computational Audition and Sound Manipulation
December 1, 2021 | Bryan PardoAbstract: Computer Audition is the sonic analog to Computer Vision and encompasses much more than just speech to text. Northwestern University’s Interactive Audio Lab (IAL), headed by Prof. Bryan Pardo, is a world leader in Computer Audition. IAL develops new techniques and technologies for identifying sound…