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What’s Next for Computer Vision?

Posted Feb 24, 2023 | Views 482
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SPEAKERS
Nate Harada
Nate Harada
Nate Harada
Creator @ Moonshine

Nate Harada is the creator of Moonshine, an open source remote sensing toolkit providing pre-trained models for the rest of us. In his day job he's a senior software engineer at Waymo, working on building perception for autonomous trucks and cars. His interests broadly include how to make machine sensing more robust and scalable. He previously spent time at Cruise and Fitbit applying deep learning to large scale problems, and completed his masters in computer science at University of Michigan after a brief but painful stint in a PhD program.

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Nate Harada is the creator of Moonshine, an open source remote sensing toolkit providing pre-trained models for the rest of us. In his day job he's a senior software engineer at Waymo, working on building perception for autonomous trucks and cars. His interests broadly include how to make machine sensing more robust and scalable. He previously spent time at Cruise and Fitbit applying deep learning to large scale problems, and completed his masters in computer science at University of Michigan after a brief but painful stint in a PhD program.

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Noah Gale
Noah Gale
Noah Gale
Co-founder and CPO @ Tribe AI

Noah is the co-founder and CPO of Tribe AI, a community of top AI talent that helps companies solve their toughest problems using machine learning. Prior to starting Tribe, Noah worked at Expa and was part of the founding team of Gigster, a freelance engineering network. There he partnered closely with Fortune 500s to lead large scale tech and data projects. He’s an active angel investor.

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Noah is the co-founder and CPO of Tribe AI, a community of top AI talent that helps companies solve their toughest problems using machine learning. Prior to starting Tribe, Noah worked at Expa and was part of the founding team of Gigster, a freelance engineering network. There he partnered closely with Fortune 500s to lead large scale tech and data projects. He’s an active angel investor.

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SUMMARY

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

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