Tony Zhang @tonyzhang_
Founder, Tera AI. Spatial reasoning for scalable autonomy. @Caltech PhD in Computation & Neural Systems. tera-ai.com San Francisco Joined October 2009-
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The MBAification of CS majors has reached new heights. Founders who want a clear formula for garanteed success and have no passion other than being better than the next guy. What happened to building for building's sake? What happened to being passionate about solving your…
pretraining is an elegant science, done by mathematicians who sit in cold rooms writing optimization theory on blackboards, engineers with total absorb of distributed systems of titanic scale posttraining is hair raising cowboy research where people drinking a lot of diet coke…
Sharing our first research paper today! Product announcements to come over the next few months. Join us.
Sharing our first research paper today! Product announcements to come over the next few months. Join us.
True founder-first fund
Incredibly proud of our team.
Tera AI comes out of stealth with $7.8M to provide visual navigation for robots tcrn.ch/4iztgtu
Robots won’t be truly helpful until they can navigate like humans. Tera AI is solving this with software-only spatial reasoning—helping robots move using just a camera, no extra sensors needed. @DetweilerJames and I are excited to back @tonyzhang_ and @teraai_ at @felicis!…
Congrats to @tonyzhang_ on their $7.8M seed. Most robots struggle to navigate unfamiliar environments. Tera AI is changing that with AI-powered, vision-based navigation. If you’re an AI researcher or an engineer, check out their role. Tony is some of the most talented founder…
Congrats to @tonyzhang_ on their $7.8M seed. Most robots struggle to navigate unfamiliar environments. Tera AI is changing that with AI-powered, vision-based navigation. If you’re an AI researcher or an engineer, check out their role. Tony is some of the most talented founder…
I’m beyond excited to finally share Tera AI (tera-ai.com) with the world. As some of you know, I’ve been long obsessed with cognitive maps and world models – AI with general-purpose spatial reasoning like humans. We're hiring!
I’m beyond excited to finally share Tera AI (tera-ai.com) with the world. As some of you know, I’ve been long obsessed with cognitive maps and world models – AI with general-purpose spatial reasoning like humans. We're hiring!
I believe that if you understood intelligence, you could build it in software form on a $1M budget, including training. It would not need to be trained on the entire Internet, nor on the thought process of thousands of experts.
Now in eLife, including some new results from student author Zeyu Jing: doi.org/10.7554/eLife.… @eLife
[1/6] New model for Merlin Sound ID! We’ve been hard at work this summer improving performance and adding 186 new species, including 150 common Neotropical species! This is a drop in the bucket for this region, but it’s a start! @MacaulayLibrary @MerlinBirdID @CornellBirds
Excited to share my latest theory work on rodent maze navigation and reinforcement learning: biorxiv.org/content/10.110… inspired by a fascinating experiment from @MH_Rosenberg, @tonyzhang_, @PietroPerona and @mameister4.
Building a stronger bridge between academia and industry through our Residency program! If you are a #PhD in #STEM with proficiency in at least one coding language, consider applying today. Happy #worldquantumday
2021: we can’t reproduce big lab’s research because we don’t have a 1000 GPUs 2022: we can’t reproduce this research because we don’t have a nuclear reactor.
Appearing in this month's issue of Neural Computation: Predictive Coding, Variational Autoencoders, and Biological Connections. The paper reviews this under-explored intersection of neuro/AI and outlines the surprising implications.
Appearing in this month's issue of Neural Computation: Predictive Coding, Variational Autoencoders, and Biological Connections. The paper reviews this under-explored intersection of neuro/AI and outlines the surprising implications.
Will be in Ann Arbor this weekend for this!
5/ The whole algorithm can be implemented with a biologically realistic neural circuit, using only local synaptic learning rules. Along the way that circuit solves the All-Pairs-Shortest-Path problem on a graph.
New preprint on a theory for navigation in complex environments. With Tony Zhang @tonyzhang_, Matt Rosenberg @MH_Rosenberg, and Pietro Perona @PietroPerona. biorxiv.org/content/10.110….

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