#MachineLearning #Robotics #ROS2 #Gazebo 👨💻
Check it out and sign up. We can use your help :-)
Join us as we reimagine intelligence together.
open-neuromorphic.org
#ONM #Brain-inspired #Hardware #SNN
Check it out and sign up. We can use your help :-)
We must build things that scale with intelligence, not compete with it.
Thread: x.com/jaschasd/sta...
#AGI #ComputerVision #PhDLife #EmbodiedAI
We must build things that scale with intelligence, not compete with it.
Thread: x.com/jaschasd/sta...
#AGI #ComputerVision #PhDLife #EmbodiedAI
Armin (creator of Flask, Jinja, Click) is different - when he says 90% of a new significant infrastructure project he's building was AI generated that's worth paying attention to
Armin (creator of Flask, Jinja, Click) is different - when he says 90% of a new significant infrastructure project he's building was AI generated that's worth paying attention to
Jiahao Wang, Yufeng Yuan, Rujie Zheng, Youtian Lin, Jian Gao, Lin-Zhuo Chen, Yajie Bao, Yi Zhang, Chang Zeng, Yanxi Zhou, Xiaoxiao Long, Hao Zhu, Zhaoxiang Zhang, Xun Cao, Yao Yao
tl;dr: in title
arxiv.org/abs/2509.09676
Jiahao Wang, Yufeng Yuan, Rujie Zheng, Youtian Lin, Jian Gao, Lin-Zhuo Chen, Yajie Bao, Yi Zhang, Chang Zeng, Yanxi Zhou, Xiaoxiao Long, Hao Zhu, Zhaoxiang Zhang, Xun Cao, Yao Yao
tl;dr: in title
arxiv.org/abs/2509.09676
If you are interested in the robotics community in Colorado check out this list 👇
If you do robotics in CO and aren't on the list, I can add you!
Let me know if you know of anyone I should add 😊
go.bsky.app/UPwPd9q
If you are interested in the robotics community in Colorado check out this list 👇
If you do robotics in CO and aren't on the list, I can add you!
We want to revolutionalize the way we program brain-inspired systems and are plotting a course in a new publication with Steven Abreu: ieeexplore.ieee.org/abstract/doc... (or open access arxiv.org/abs/2410.22352)
Let's build better neuromorphics together! 🚀
We want to revolutionalize the way we program brain-inspired systems and are plotting a course in a new publication with Steven Abreu: ieeexplore.ieee.org/abstract/doc... (or open access arxiv.org/abs/2410.22352)
Let's build better neuromorphics together! 🚀
We're connecting decades of work in computer vision with decades of work in spiking networks. And, in an event-based vision task against regular ANNs of similar complexity, spiking networks are doing much, much better!
www.nature.com/articles/s41...
We're connecting decades of work in computer vision with decades of work in spiking networks. And, in an event-based vision task against regular ANNs of similar complexity, spiking networks are doing much, much better!
www.nature.com/articles/s41...
The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?
The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?
In under just 1 hour of training, our AI Agent can now automate tasks requiring complex physics and object interactions. Done for the first time on 100$ robot arms.
Watch as it recovers when the cube gets stuck 🤯
In under just 1 hour of training, our AI Agent can now automate tasks requiring complex physics and object interactions. Done for the first time on 100$ robot arms.
Watch as it recovers when the cube gets stuck 🤯
This week, I chatted to Prof. Kaspar Althoefer from Queen Mary University of London about soft #robotic manipulators for healthcare and manufacturing. 🤖 🖐️
Listen now: www.robottalk.org/2025/03/14/e... #Robots #Robotics #Prosthetics #Surgery #Manufacturing
This week, I chatted to Prof. Kaspar Althoefer from Queen Mary University of London about soft #robotic manipulators for healthcare and manufacturing. 🤖 🖐️
Listen now: www.robottalk.org/2025/03/14/e... #Robots #Robotics #Prosthetics #Surgery #Manufacturing
End-to-end imitation learning is so powerful!
A neural network is taking cameras and motors information as input, and directly outputting motors position.
No need for depth, bounding box, 3D reconstruction, SLAM.
End-to-end imitation learning is so powerful!
A neural network is taking cameras and motors information as input, and directly outputting motors position.
No need for depth, bounding box, 3D reconstruction, SLAM.