Thrilled to announce the fireside chat between LDV Capital’s and . On March 28, they will discuss lessons from commercializing #AI research, starting #deeptech businesses and building AI Products at #Fortune100 companies. RSVP to join ldv.co/ldvvisionsummit
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Clément Farabet
@clmt
Building AI. Ex NVIDIA (built SW2.0 infra for self-driving cars and GPU data science). Ex Twitter (started AI team). Ex Madbits (cofounded + sold to Twitter).
Clément Farabet’s Tweets
Haha!
The paper in question by et al. was rejected from CVPR 2011 & accepted at ICML 2012.
icml.cc/Conferences/20
Probably the first example of using ConvNets for semantic segmentation in natural images.
A longer version was eventually published in IEEE PAMI.
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Wow!
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We just introduced PyTorch 2.0 at the #PyTorchConference, introducing torch.compile!
Available in the nightlies today, stable release Early March 2023.
Read the full post: bit.ly/3VNysOA
🧵below!
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. has just announced and published the latest set of performance benchmarks for various Deep Learning training and inference tasks on A100 and H100 GPUs.
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Going to be big advances (again) in AI in the coming weeks from text to image etc.
Folk dismissing this as a toy/wondering what use should dig in and realise this augments communication, understanding & a whole lot more that is core to value creation.
Exponentials are crazy.
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"Wrapping up my journey scaling Software 2.0 development for AV" link.medium.com/sYTy6kc6Oub .
Just sharing some raw learnings about my past few years on the topic.
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To those impacted by layoffs please know that
-other companies are hiring
-absolutely no one will hold this against you
-your job does not define you
-so many people want to help
My DMs are open while this app still works.
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Elon Musk has pulled more than 50 Tesla employees into his Twitter takeover, most of them Autopilot engineers cnb.cx/3FydwGK <--- At Tesla, Python is a preferred scripting language, and at Twitter programmers use Scala extensively.<--culture clash, code review challenge
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Deep learning is based on the audacious conjecture that biological neurons and artificial neurons are not that different. Its success to date is evidence for this belief
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Ok deleting this thread as can't have a conversation on this hell site. I woke up the trolls, good night.
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Must be draining to be a naysayer
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Tesla’s autonomy efforts are ~7 y.o, FSD beta ~ 2, MobilEye’s - 23.
Tesla’s first EV came out ~ 10 years after GM’s.
Optimus is ~ 1 y.o., Boston Dynamics has been building robots for 30 years, Japanese even longer.
First mover advantage my ass
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AI technology still very much on an exponential path to enable new products and capabilities. I don’t really get the naysayers and obsession on what it will take to get to AGI. Each progress increment we’re going through daily is enabling more concrete value. Good show tonight.
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The source code for training and inference has been released!! github.com/nv-tlabs/GET3D
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Tune in! So much news in here, but want to zoom in the amazing work done by our AV, DriveSim and Maglev teams to enable a full hybrid Sim + real development process for AV. Pretty unique ability that NVIDIA has to pull the best rendering/simulation tech to support AI dev.
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Hear how NVIDIA has built a data factory for developing and training #autonomousvehicle software on the latest #AI Podcast with :
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First up, my latest with resident NVIDIA AI guru on the past, present, and future of deep learning development:
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Thanks Katie for having me on! I had a great time, retracing some of the early work we did on AI for robots, rec sys at Twitter, all the way to the advanced Software 2.0 (source→data) AI factory we're building at NVIDIA to support the development of autonomous machines. Tune in!
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Hear from the maestro of NVIDIA's AV training orchestra, Clément Farabet (@clmt), as he discusses the past, present, and future of #AI development:
nvda.ws/3oTmQLw
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The new $2.7 million Mercedes-AMG ONE is incredible.
• Only 275 made
• 1,063 horsepower
• 0-125mph in 7 seconds
They put an F1 engine in a road car, and no one in the United States will be driving one...because they didn't want to sacrifice performance to meet regulations.
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Strolling downtown SF this weekend. Really one of the best cities to recharge.
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Quite possible, and great outcome
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Crazy thought… What if @jack masterminded this whole thing?
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Fun (though long) recap of recent history:
acquired.fm/episodes/nvidi
I think they capture NVIDIA's willingness to make huge bets (CUDA, Tegra, Autonomous Vehicles) and stand behind them for years. 1/
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Interested in understanding what Recommender Systems look like in the real world? and I have been working with the Merlin team on a pattern representative of most systems. Check out our blog: medium.com/nvidia-merlin/ and let us know what you think!
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Algorithmic transparency & destroying the bot armies are obviously massively good things which current incentives are not aligned with.
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Now I wish my stint at Twitter was starting now :). Hope they can turn it around this time.
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Do not book any travel via . Pure incompetence and waste of time. This will be my last time.
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Amazing progress on our AV simulator and related tech.
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Get a first look at novel #AI tools for scenario reconstruction in @nvidiaomniverse — a key building block for #autonomousvehicle training, testing and validation: nvda.ws/3JzE9dj #GTC22
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Biggest problem imo. Lack of energy independence and wishful thinking on when we’ll get there … removes all leverage.
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The United States is sanctioning Russia, with the exception of its oil and gas…
Which makes up 60% of Russia's exports and more than 30% of the country's GDP.
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Time for Europe to really go all in on nuclear power and stop the nonsense.
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It's official! Voltron Data is changing the way people interact with #data and #hardware with support from top tier investors. If you're passionate about open-source and standards in the data analytics ecosystem, read on, and become a Voltronaut! voltrondata.com/news/fundingla
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Our AV platform is expanding, JLR our latest partner. Our team is growing, massively. 100s jobs. Opportunities in AV software, AV development infrastructure, AI dev flows/MLOps, and of course scaling our Drive Sim platform for synth AI GT and AV close loop testing. Reach out!
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NVIDIA and @JLR_News are partnering to develop intelligent vehicles, starting in 2025: nvda.ws/3BpgEQO
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Mercedes-Benz and now JLR… if you want to build the AI platform that supports the development of self-driving software for some@of the best automakers in the world, DM me!
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NVIDIA and @JLR_News are partnering to develop intelligent vehicles, starting in 2025: nvda.ws/3BpgEQO
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