We're in a new age of #generativeAI — and companies are embracing tools like #LLMs to thrive. insideBIGDATA shares a few key findings from our #StateofDataAI report — read it here https://
bit.ly/3MJFXDi
RESEARCH
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Companies Embrace LLMs and Generative AI for Business Growth
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Jasia Reichardt’s Plenary on Uncanny Valley and Strangeness
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Just posted: video of living legend Jasia Reichardt's plenary presentation, "In Praise of Strangeness" @ieee_ras_icra
. Jasia coined the term #UncannyValley in 1978: #SigmundFreud, #WarsawGhetto, #KarelCapek, #Fellini, #Turing,#Asimov,#Buddhism, #ChatGPT: https://
vimeo.com/event/3437386#
t=11m17s
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Dynamic ratio adjustment balances synthetic data fairness improvements
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Synthetic data to augment under-represented classes in real datasets is natural to improve fairness. However, we have to balance distribution shift with improvement of fairness. We propose dynamic ratio adjustment of real vs synthetic data. @deanh_tw @wn8_nie @ArashVahdat
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Neural Operators: Discretization Invariance for Variable Resolutions
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Interesting @smnlssn I encourage you to explore neural operators since they will provide discretization invariance and can handle different resolutions directly.
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Big Wonders Despite Minor Annoyances in AI Technology
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some little things are annoying but the big things are so wonderful
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Your Guide to AI June 2023
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Link below: https://
open.substack.com/pub/nathanbena
ich/p/your-guide-to-ai-june-2023?r=iksr&utm_medium=ios&utm_campaign=post
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Latest Guide to AI Newsletter: Policy, Research, Startups Coverage
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Our latest @guidetoai newsletter w/
@osebbouh is out in your inbox Opinionated coverage of AI policy, research, startups and big tech over the last 4 weeks. Tell us what you think -
Deep Learning for Computer Vision Course by Justin Johnson
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Deep Learning for Computer Vision.
University of Michigan. EECS 498-007 / 598-005
Justin Johnson A deep dive into neural-network-based DL methods for CV, focusing on training and debugging neural networks and understanding cutting-edge research. https://
youtube.com/playlist?list=
PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r
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Full Stack Deep Learning UC Berkeley Spring 2021 Online Course
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Full Stack Deep Learning
UC Berkeley Spring 2021 Online Course
Sergey Karayev, Josh Tobin, and Pieter Abbeel Training models is just one part of shipping a deep learning project. This course teaches full-stack production deep learning. https://
fullstackdeeplearning.com/spring2021/ -
Applied Machine Learning Course Cornell Tech CS 5787
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Applied Machine Learning
Cornell Tech CS 5787
Volodymyr Kuleshov A machine learning introductory course that starts from the very basics, covering all of the most important machine learning algorithms and how to apply them in practice. https://
youtube.com/playlist?list=
PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
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