Heading to @ICLR? If you're interested in building frontier AI to tackle some of the biggest challenges in science, talk to us about our open ML Engineer, ML Research Engineer and ML Research Scientist roles.
Our hiring managers will be in Rio from 23-27 April. Register in the comments to meet them for a 1:1 chat.
@chaaarig, @mgarort_, @aosokin_ml, @rampasek, @amyxlu, @barthelemymp
The Iso team has cooked something incredible: our new technical report unveils the latest results from our drug design engine, the IsoDDE, progressing far beyond AlphaFold 3. This breaks new ground compared to AF and other similar methods by a significant degree across all key benchmarks. 1/7
I'm in San Diego for #NeurIPS! I'll be around to chat anything @IsomorphicLabs, at Google booth [Thursday 15:45], and will be presenting a paper from my past life with @meta_aria on reading with smart glasses [Poster on Friday 16:30]. See you around!
https://t.co/Mu0cxpZN9c
Reading Recognition in the Wild: A Dataset for Understanding Human Behaviors During Reading from an Egocentric Sensor Suite
This large multimodal dataset features video, eye gaze, and head pose sensor outputs, created to help solve the task of reading recognition from wearable devices. Notably, this is the first egocentric dataset to feature high-frequency eye-tracking data collected at 60 Hz.
Explore โก๏ธ https://t.co/TK8BPu4yjk
Excited to be in Milan for #ECCV2024 to present our Oral paper tomorrow!
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering.
with @WeidiXie and Andrew Zisserman.
@WeidiXie We show examples on many domains, both object and environmental changes: natural videos, camouflages, satellite images, longitudinal medical images.
[Oral] 6B - Video Understanding (Thursday 13:50, Auditorium)
[Poster] 6 (Thursday PM), Poster 117 (right by the escalator!)
SAM + Optical Flow = FlowSAM
FlowSAM can discover and segment moving objects in a video and outperforms all previous approaches by a considerable margin in both single and multi-object benchmarks ๐ฅ
https://t.co/qjaMQOYtlN
This quote from @demishassabis is my favourite take on the "engineering vs science" debates in AI yet:
AI is an engineering science: unlike in natural sciences, the phenomenon you're studying doesn't exist in nature, so you have to build it first, and then you can study.
In a week's time I will be attending #CVPR2022 in person to present our timely project on telling the time **without** manual annotations. Hope to see people this time!
It's About Time: Analog Clock Reading in the Wild
w/ @WeidiXie and Andrew Zisserman
https://t.co/38y644Mk49