An @SMU
-led research team has been awarded $2M from @doescience to develop algorithms with a powerful NVIDIA SuperPOD™ amongst its supercomputing system in order to fuel sustainable energy efforts. Learn More: https://
nvda.ws/3gljCQn
RESEARCH
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SMU Develops AI Algorithms for Sustainable Energy with NVIDIA SuperPOD
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Interview on Abraham AI and Generative AI Space Insights
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Nice interview with me about @abraham_ai_ and some thoughts on the emerging generative AI space. This interview was actually done in June, which is why Stable Diffusion is conspicuously missing
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Large Language Models Should Master Multi-Digit Addition
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Multi-digit addition should definitely be within reach for large language models at this point! https://t.co/snqwqxnVQ7
— Jason Wei (@_jasonwei) 18 novembre 2022Multi-digit addition should definitely be within reach for large language models at this point!
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Mind Reading Technology from Stanford and Asian Universities Requires Expensive MRI
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New "mind reading tech" paper from Natl Uni Singapore, Chinese Uni HK, Stanford: https://
mind-vis.github.io An MRI costs $500k (or rent for 5-10% per mo) so this tech isn’t going B2C for decades bc $$. I expect more cool gigamodel research to hit cheaper HW like EEG & wearables -
Mind Reading Technology, Brain-Computer Interfaces, and Latest Research Paper
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Longer thread on "mind reading tech" and BCI and the latest paper to add to the mix. https://
mind-vis.github.io -
Mind Visualization Research Paper Generates Limited Engagement in Tech Circles
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I've been tweeting about this space for 2.5 years (and thinking about it for 10). Judging by the reactions in my circles to this new paper out of National Uni of Singapore, Chinese University of HK, and Stanford, they're still not ready. https://
mind-vis.github.io -
Montreal.AI Unveils AGI-First Business Model Strategy
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http://
MONTREAL.AI : The AGI-First Business Model #AGI #AGIFirst #MontrealAI -
Summary of Efficient Robot Grasping Research by Wisdom Agboh
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Great summary of @WisdomAgboh
’s elegant research on efficient robot grasping. -
MultiRay: Meta’s Platform for Efficient Large-Scale AI Models
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Meet MultiRay, Meta’s new platform for efficiently running large-scale, state-of-the-art AI models. By converting input to an embedding that’s cached & shared between users, MultiRay greatly reduces complexity & energy use. Here’s how it's enabling us to build & scale ML work