Neuromorphic Computing And The Potential For Hyper-Realistic AI
#AI #AIio #BigData #ML #NLU #Futureofwork @TopCyberNews @SpirosMargaris @MarshaCollier @MHiesboeck
@MHcommunicate @Fisher85M @MikeQuindazzi @NealSchaffer
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ow.ly/nJFf30swnqF
MACHINE LEARNING
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Neuromorphic Computing and the Potential for Hyper-Realistic AI
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Stanford MLSys Seminars: Essential Talks on Machine Learning Systems
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Really like this series of talks by Stanford MLSys Seminars on wide range of topics. All talks are great. A few examples: – FlashAttention: https://
youtube.com/watch?v=gMOAud
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– PaLM: https://
youtube.com/watch?v=CV_eBV
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– Building ML models like open-source software: https://
youtube.com/watch?v=0oGxT_
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Coral grounds AI responses with source citations
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Coral is grounded. Workers need to understand where information is coming from. To help verify responses, Coral produces citations from relevant data sources. Our models are trained to seek relevant data based on a user's need (even from multiple sources).
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Hiera: Hierarchical Vision Transformer without Bells-and-Whistles
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Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles https://
bit.ly/3OrVBW3 6/7 -
Hyperbolic Image-Text Representations Research
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Hyperbolic Image-Text Representations https://
bit.ly/3YlLC8h 5/7 -
ELSA: Efficient Label Shift Adaptation Semiparametric Models
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ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models https://
bit.ly/43EbRHU 2/7 -
Learnable Reward-Mixing MDPs with Few Latent Contexts
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Reward-Mixing MDPs with Few Latent Contexts are Learnable https://
bit.ly/3KzS4Tt 3/7 -
Masked Trajectory Models for Prediction, Representation, and Control
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Masked Trajectory Models for Prediction, Representation, and Control https://
bit.ly/43EMc1N 4/7 -
ICML 2023: New Research Papers Released This Week
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#ICML2023 — Here are interesting new papers we’re sharing this week — and links to access all of them right now.
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AI Creating New Biology: Advancing Scientific Discovery
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link: https://
thenakedscientists.com/articles/inter
views/creating-new-biology-using-ai
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