We’ve all seen significant changes in NLP in the last few years, as models have moved from highly-supervised, recurrent structures into transformers and large-scale, unsupervised models. Now, with the use of LLMs at an all-time high, we have to ask the question – has computer vision stagnated?
Join Nate Harada (creator of open-source toolkit Moonshine, perception at Waymo and Cruise) along with moderator Noah Gale (co-founder at Tribe AI) as they discuss the most exciting current developments in computer vision and where the field is headed, including:
How we got here – Has computer vision stagnated?
The landscape – What’s most exciting in CV right now?
What’s coming – Where are the most exciting opportunities in CV?
From startup to scale – How to think about investing in labeled data sets, structuring teams, and evaluating success at every stage
