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Animesh Garg @animesh_garg

Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics @GeorgiaTech + @NvidiaAI. prev @Stanford @berkeley_ai @UofTCompSci animesh.garg.tech Atlanta / San Francisco Joined January 2010
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Animesh Garg retweeted
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Georgia Tech School of Interactive Computing @ICatGT

a day ago

Will Optimus roll out on time? @animesh_garg shares his thoughts with @Forbes on Tesla's humanoid robot and its target release date near the end of 2025. "How useful are the skills that ship out of the box?" @gtcomputing @GTrobotics forbes.com/sites/robertha…

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Animesh Garg @animesh_garg

2 days ago

I am seeing amazing ads like this!🐣👼👩‍🎓 Perhaps, the memes people were making @NeurIPSConf high school track perhaps were truisms afterall! As an Asian immigrant dad of 1 year old, I am instinctively feeling left behind 🥈🏃‍♂💨

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Animesh Garg @animesh_garg

4 days ago

I met Jensen in my first week at Stanford, and admittedly, did not realize the long game he was driving Nvidia towards! Indeed the world has come a long way since but Jensen maintains his conviction to drive AI at @nvidia and broadly.

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Fei-Fei Li @drfeifei

8 years ago

I met Jensen in my first week at Stanford, and admittedly, did not realize the long game he was driving Nvidia towards! Indeed the world has come a long way since but Jensen maintains his conviction to drive AI at @nvidia and broadly.

Animesh Garg retweeted
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Alexander Koch @alexkoch_ai

5 days ago

Excited to announce Tau Robotics (@taurobots). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different…

Animesh Garg retweeted
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Andrii Zadaianchuk 🇺🇦 @ZadaianchukML

2 weeks ago

📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5

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Animesh Garg @animesh_garg

3 weeks ago

Canada has been a frontrunner with visionary investments in building core competencies for AI through the last 10 years and many more in fundamental investments before that The new $2B+ infusion will definitely enable a lot of researchers to scale their ideas and be increasingly…

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MilaQuebec @Mila_Quebec

3 weeks ago

Canada has been a frontrunner with visionary investments in building core competencies for AI through the last 10 years and many more in fundamental investments before that The new $2B+ infusion will definitely enable a lot of researchers to scale their ideas and be increasingly…

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Animesh Garg @animesh_garg

a month ago

Simulation is the data factory for robotics. Yet, we seem to only use it for scale! Scale is not all you need!, or atleast not the only ingredient. Algorithmic innovation matters🛠️ So what is beyond vectorized physics? I provide a perspective on using additional information…

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Animesh Garg @animesh_garg

a month ago

I am in the Bay Area this week presenting at #GTC24 I remember the first time I presented at GTC in 2018, it felt already very big, but I am expecting to be awed! Also will get to see keynote live as a first! If you are around and would like to meet, dm me.

Animesh Garg retweeted
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Matthew Gombolay @MatthewGombolay

2 months ago

6 years ago, we flew to ATL to start the next chapter of our lives. I started as faculty at @gtcomputing, found PhD students who were willing to take a chance on me 🙏, took risks on exciting research. Today, I’m excited to share that I’ve been promoted to Assoc Prof w/ Tenure!!!

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Animesh Garg @animesh_garg

2 months ago

Anthropic releases Claude 3 and reaches new capability benchmarks, matching/beating GPT4 & Gemini 1.0 across reasoning, math, coding, multilingual understanding, and vision. And Claude Models are also multimodal, support 200K tokens in context, and are supposedly faster! one…

Animesh Garg retweeted
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Jesse Thomason @_jessethomason_

2 months ago

Great article by @davidberreby that highlights the work of GLAMOR Lab's @Ishika_S_ in collaboration with @NVIDIAAI folks like @animesh_garg and continued with funding from @ArmyResearchLab. Upshot: if LLMs tell robots what to do, experts should decide what actually gets done.

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USC @USC

2 months ago

Great article by @davidberreby that highlights the work of GLAMOR Lab's @Ishika_S_ in collaboration with @NVIDIAAI folks like @animesh_garg and continued with funding from @ArmyResearchLab. Upshot: if LLMs tell robots what to do, experts should decide what actually gets done.

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