Psst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434
With some trepidation, I'm putting this out into the world:
gershmanlab.com/textbook.html
It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class.
My hope is that this will be a living document, continuously improved as I get feedback.
I'm proud to chair this initiative, bringing together leading scientists, students, and volunteers to build an open and sustainable ecosystem for neuromorphics.
Check it out and sign up. We can use your help :-)
Today, OpenAI's ChatGPT handles 2.5 billion queries per day; the electricity used is equivalent to fully charging 14,000 electric vehicles. Get the big picture on energy use as we scale up to all generative AI queries per year, both now and in 2030.
This thread from @jaschasd at @AnthropicAI is a major wake-up call for early-career researchers, especially in #robotics.
We must build things that scale with intelligence, not compete with it.
Thread: x.com/jaschasd/sta...
#AGI #ComputerVision #PhDLife #EmbodiedAI
Most of the "90% of code written by AI" claims come from vendors selling AI tools and lack credibility as a result
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
*NOT Pro, Plus.
And also there's the definition of novel too, we could define it in many ways. Some may say that what I was given is a novel idea.
It's what I experienced using Gemini Pro and ChatGPT pro versions to create a robotic mapping system. I could always find the papers from which the Chat bots took the ideas it suggested for me. It's useful but not truly novel. You may be referring to something else.
AI ideas are generally not really novel. It's more like combining different frontiers of state of the art.
Researchers at the University of Warwick have trialled a drone-delivery system to transport defibrillators directly to the scene of a cardiac emergency, dramatically cutting response times and increasing patients' chances of survival. 🤖 interestingengineering.com/innovation/u... #Robots #Robotics
3D and 4D World Modeling: A Survey
tl;dr: in title
arxiv.org/abs/2509.07996
SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
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
🤖 Haven't re-upped this in... Like ever!
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!
I would like a box like robot to do my work without even me realising it's done. A very very smart dishwasher integrated into my home.
I would like a box like machine to do my work without even me realising it's done. A very very smart dishwasher integrated into my home.
I thought I wouldn‘t be one of those academics super into outreach talks, but I just put together something about understanding LLMs for laypeople and I get to talk about results that I don’t really focus on in any of my technical talks! It’s actually really cool. I made this lil takeaway slide
Humans don’t fully trust the #AI #agents that are coding for them, and with good reason. New research shows that AI agents still fall short when it comes to huge codebases, extended context over many lines of code, and long-term planning on structure and design. spectrum.ieee.org/ai-for-coding
What if your vehicle could predict accidents? Nauto's AI dashcam offers real-time alerts to keep drivers safe and informed.
Prototyping has become so easy.
Yes
I have similar experiences with ROS 2 code for robotics 🤯
Curious about #neuromorphic computing? 🧠💻
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! 🚀
New paper on covariant #neuromorphic networks!
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...
@ UKCI 2025 @edinburghnapier.bsky.social university.
While some prefer humanoid robots for certain tasks, people generally prefer special purpose robots over humanoids.
Aalto University course "Distributed Algorithms" starts tomorrow! All course material (including an online textbook and short videos) are freely available here: jukkasuomela.fi/da2020/
Engineers at Harvard have developed a soft, wearable robot that uses machine learning to respond to each user’s unique movements, which could provide personalised assistance to patients with neurodegenerative disease or people recovering from a stroke. 🤖 www.wevolver.com/article/a-we... #Robotics
I can't* fathom why the top picture, and not the bottom picture, is the standard diagram for an autoencoder.
The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?
