Fun things turned killer provocations:
Palmer Luckey (founder of the Oculus) posts a design for a VR helmet that can kill you, inspired by anime: http://
palmerluckey.com/if-you-die-in-
the-game-you-die-in-real-life/
…
Julijonas Urbonas designed a roller coaster that would kill anyone who rides on it https://
en.wikipedia.org/wiki/Euthanasi
a_Coaster
…
AI
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Dangerous VR and Tech Innovation: Ethics of Lethal Designs
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Marie Curie: Breaking Barriers in Science 100 Years Ago
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17 Nobel Prizes on this iconic picture in 1927 at the Fifth Solvay Conference! Notice that the only woman in this group is Marie Curie. 100 years ago, imagine all the obstacles and biases she had to go through… And you, who is your idol in science? #innovation #tech #science
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NVIDIA Inception Supports Innovative Tech Startups Globally
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Curious to know how @NVIDIA is supporting #innovative #tech #startups across the globe? Join the open house session to explore NVIDIA Inception. Register now: https://
nvda.ws/3h9NNtY
#developers #metropolis #innovation #nvidiainception -
Generative Art Bridges Imagination and Reality Gap
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Generative art drastically narrows the gap between imagination and reality, but it doesn’t replace imagination.
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Deep Learning’s Future: A 2009 NeurIPS Prediction Recalled
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13 years ago at Neurips 2009, 3 years before AlexNet, a young student @ilyasut explaining to my dinner table why Deep Learning is gonna be the future.
Looking forward to #NeurIPS2022. -
MidJourney Progress Examples Summer Launch
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A few more examples – and remember, MidJourney just launched this summer, so this is a couple of months of progress (and this is without optimizing the prompts for the new version of the software, which would require some new approaches to get right)
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AI Accelerators for Deep Learning Workloads at SC22
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Interested in learning how novel AI accelerators are used for deep learning workloads? Join our ML Solutions Engineering Lead, Cindy Orozco Bohorquez, at SC22 for this discussion! #AI #ML #DeepLearning #SC22
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Paper Review Quality Assessment in AI Research
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Correct, some is cut off. The reviewers also give a brief summary of the paper and list two strengths and weaknesses. I don't know the area/work, but at a glance, certainly not the worst review I've ever seen. (Not linking here to avoid a pile-on)
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China’s Data Advantage and Global AI Diversity Challenges
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3) China has a massive data advantage with 1Bn+ people but much of the data lacks diversity (racial /cultural) for a global audience. TikTok bring an exception but then again it’s data practices should be looked at carefully @vonderleyen
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Overfitting in AI Research: Need Better Global Standards
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2) During lockdown my team and I explored a lot of the GitHubs from China based publishers & found quite a few claiming major breakthroughs to be overfitted. To be fair it also happens with some US researchers. AI needs better research standards globally. Don’t believe the hype!