Autonomous vehicles generate a lot of raw (unlabeled) data every minute. But only a small fraction of that data can be labeled manually. Ashesh focuses on how we leverage unlabeled data for tasks on perception and prediction in a self-supervised manner. He touches on a few unique ways to achieve this goal in the AV land, including cross-modal self-supervised learning, in which one modality can serve as a learning signal for another modality without the need for labeling. Another approach he touches on is using outputs from large-scale optimization as a learning signal to train neural networks, which is done by mimicking their outputs but running in real-time on the AV. Ashesh further explores how we can leverage the Lyft fleet to oversample the long tail events and, hence, learn the long tail.

The future of work signifies the opportunity to evolve our workforces and workplaces. This evolution is being shaped by two powerful forces: the growing adoption of artificial intelligence in the workplace and the expansion of the workforce to include both on- and off-balance-sheet talent, often referred to as the open talent continuum. These shifts could lead us to reconsider the roles of individuals, organizations, and societies at work. From the individual nine-to-five workday to how entire industries function, work seems to be changing faster than ever. Big shifts threaten to create massive societal and economic disruption unless we look seriously at making the future of work productive and rewarding for everyone.

The future of work signifies the opportunity to evolve our workforces and workplaces. This evolution is being shaped by two powerful forces: the growing adoption of artificial intelligence in the workplace and the expansion of the workforce to include both on- and off-balance-sheet talent, often referred to as the open talent continuum. These shifts could lead us to reconsider the roles of individuals, organizations, and societies at work. From the individual nine-to-five workday to how entire industries function, work seems to be changing faster than ever. Big shifts threaten to create massive societal and economic disruption unless we look seriously at making the future of work productive and rewarding for everyone.