Frank Dellaert
@fdellaert.bsky.social
2.5K followers 330 following 39 posts
Robotics/Perception Prof at Georgia Tech; Chief AI Officer at Verdant Robotics. Stints at Skydio, B*8, Reality Labs, Google Research. https://dellaert.github.io
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Reposted by Frank Dellaert
petergleick.bsky.social
There are 2 previous historical cases of countries destroying their science and universities, crippling them for decades: Lysenkoism in the USSR and Nazi Germany. The Trump administration will be the 3rd.
It's not just budgets but research, institutions, expertise, and training the next generation.
Graphs showing 25 years of budgets for the National Institute of Health, NASA, and the NSF. In all cases, the proposed budget for next year is far, far below any year of the previous quarter century.
Reposted by Frank Dellaert
csprofkgd.bsky.social
I know this look well. It’s the same one I get when I introduce the Fourier transform in my computer vision course to the CS crowd.
Reposted by Frank Dellaert
theonion.com
Trump Says He Won’t Rule Out Third Reich
Trump Says He Won’t Rule Out Third Reich
fdellaert.bsky.social
Part 2 of SLAM handbook is out for public comments! let us know what you think :-) Issue tracker on GitHub awaits! Link: github.com/SLAM-Handboo...
Reposted by Frank Dellaert
georgetakei.bsky.social
And yet Joe Rogan puts guests on who say "Vaccines aren't actually responsible for the reduction in infectious diseases.”
The image is a heatmap titled "Measles," showing measles cases across U.S. states from 1928 to 2003. States listed on the y-axis include Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Iowa, Illinois, Kansas, Louisiana, Maryland, Michigan, Missouri, Montana, North Dakota, New Hampshire, New York, Oklahoma, Pennsylvania, South Carolina, Tennessee, Utah, Vermont, Wisconsin, and Wyoming. The x-axis spans years from 1928 to 2003. A vertical line marks the introduction of the measles vaccine around 1963. The color scale at the bottom ranges from blue (0 cases) to red (4,000+ cases), with shades of green, yellow, and orange indicating intermediate values (1,000, 2,000, 3,000 cases). Before 1963, many states show frequent high case numbers (yellow to red), while after 1963, cases drop significantly, with mostly blue indicating near-zero cases.
Reposted by Frank Dellaert
ajdavison.bsky.social
Aria Gen 2 is very impressive, with fully onboard SLAM and various other perception all within a 75g device with an hours-long battery life. Processing on custom silicon. Congrats to the Reality Labs team.
Introducing Aria Gen 2: Unlocking New Research in Machine Perception, Contextual AI, Robotics, and More
Today, we're excited to announce the next step in the Project Aria journey: the introduction of Aria Gen 2 research glasses.
www.meta.com
Reposted by Frank Dellaert
rmurai0610.bsky.social
MASt3R-SLAM code release!
github.com/rmurai0610/M...

Try it out on videos or with a live camera

Work with
@ericdexheimer.bsky.social*,
@ajdavison.bsky.social (*Equal Contribution)
rmurai0610.bsky.social
Introducing MASt3R-SLAM, the first real-time monocular dense SLAM with MASt3R as a foundation.

Easy to use like DUSt3R/MASt3R, from an uncalibrated RGB video it recovers accurate, globally consistent poses & a dense map.

With @ericdexheimer.bsky.social* @ajdavison.bsky.social (*Equal Contribution)
fdellaert.bsky.social
Some personal news: as of January I am back full-time at Georgia Tech following a 2-year leave as Verdant Robotics’ CTO. I will continue to be involved with Verdant as part-time Chief AI Officer, thinking strategically about the role of AI in Robotics for Ag.
fdellaert.bsky.social
Gemini is good but too verbose :-)
fdellaert.bsky.social
The visual system of a jumping spider is fascinating. Look at those cones behind the fixed main lenses! The retinas are at the end of the cones. youtu.be/gvN_ex95IcE?...
Yellow amycine jumping spider, Reserva Canadé, Ecuador
YouTube video by wmaddisn
youtu.be
Reposted by Frank Dellaert
eugenevinitsky.bsky.social
We've built a simulated driving agent that we trained on 1.6 billion km of driving with no human data.
It is SOTA on every planning benchmark we tried.
In self-play, it goes 20 years between collisions.
Reposted by Frank Dellaert
alexmrgd.bsky.social
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

TL;DR: Long videos support; Depth Anything
V2 with efficient spatial-temporal head. Temporal
consistency loss -> depth gradient (no geometric priors)
fdellaert.bsky.social
Maybe a broom attached to the train :-)
fdellaert.bsky.social
That’s such a cool idea! (Thanks K for flagging this to me)
sustainabletall.bsky.social
Solar panels are becoming so cheap the Swiss are looking at installing them *between train tracks* !!!

www.pv-magazine.com/2024/10/04/s...
fdellaert.bsky.social
Not sure I’m optimistic about that :-) I can see the number of humans involved decrease. Georgia Techs OMSCS is a good metaphor. More TAs, less teachers. TAs will be replaced by AI: one AI-TA per student per course.
fdellaert.bsky.social
I’m sure oxbridge tutors have a pretty good idea of what they have in front of them after a couple of sessions :-)
fdellaert.bsky.social
I don’t have the answers. But I’m optimistic we’ll arrive at a good outcome eventually. We will still need to find a way to somehow contribute value, and to document that fact in order to get hired for those skills. Maybe the key to certification lies in those 1-1 tutoring sessions themselves.
fdellaert.bsky.social
Sure. I think we’ll have to find a different way. At this point when I code, I use ChatGPT/Claude extensively, so maybe we should start thinking about this being a valid way to complete assignments :-)
fdellaert.bsky.social
I am more optimistic. It’s well known that one on one tutoring can be up to two standard deviations more effective than classroom teaching, but it’s prohibitively expensive. AI gives us cost-effective solution for just that. It’s *already* doing that for me :-)