The Cake first appeared in my talk at the NYU future of AI Symposium in early 2016.
Here is a video from my 2016 NIPS keynote.
The point was that there is much more knowledge to extract about the world using self-supervised learning from high-bandwidth sensory input such as
TECHNOLOGY
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Self-Supervised Learning and Sensory Data in AI Research
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Quantum Computing AI Applications: Skepticism on Five-Year Timeline
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By "not any time soon", I mean "clearly not in the next 5 years", contrary to a number of folks in the AI industry.
Yes, I'm skeptical of quantum computing, particularly when it comes to its application to AI. -
Apple Dynamic Island Reveal: Innovation and Surprise Factor
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The Dynamic Island reveal comes to mind. The surprise factor was awesome
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Enhancing Visuospatial Cognition Through AI Tools
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It's interesting that our brains have so much difficulty visualizing this even when we're looking directly at it. Makes you wonder what we could build with just a bit more visuospatial ability. Luckily we have tools.
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AWS and Snorkel Partner to Unlock Data Value
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We couldn't be more excited to be diving in with @awscloud to unlock the value of data as your differentiator. @SwamiSivasubram congratulations on incredible announcements at this year’s Reinvent. Thank you for hosting @henryehrenberg
, @ajratner
, & the Snorkel team. -
ConvNets computational efficiency compared to 2007 object recognition models
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Not true. ConvNets were actually relatively cheap compared to the dominant models of object recognition circa 2007.
They were much smaller than current architectures, of course. -
AI Vision Limitations with Dynamic Movement and Scenes
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I agree. I also wonder how it will deal with movements like sitting down, lying down, running – I imagine it only works well with static scenery.
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E/acc Movement Gains Momentum Despite Forbes Controversy
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Standing in solidarity with @beffjezos and the e/acc movement. It was a lame move by Forbes, but we won't be deterred. It's time to accelerate even more…
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ConvNets Early Debates: Computer Vision Community’s Intellectual Journey
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Haha!
It wasn't quite like that.
Many senior members of the CV community were actually very friendly and curious about ConvNets (if skeptical).
There was a true intellectual debate.
Everyone had to have a "theory" of how vision worked.
For me, it was end-to-end gradient-based -
NASA Lunar VIPER Mission AI Planning System Success
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During undergrad and after graduation, I spent 3.5 years at @NASA working on the Lunar VIPER mission helping build a system health aware real time planning advisor using the @JuliaLanguage
. It’s so cool to see this coming together for the mission: