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Top news of the week: 27.01.2022.

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@_rockt shared
On Jan 24, 2022
RT @NVIDIADC: .@Meta's #AI supercomputer - the largest NVIDIA DGX A100 customer system to date - will deliver 5 exaflops of AI performance, with InfiniBand fabric and software enabling optimization across thousands of GPUs. https://t.co/y5wWR8BMgi
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Meta Works with NVIDIA to Build Massive AI Research Supercomputer

Meta Works with NVIDIA to Build Massive AI Research Supercomputer

Meta Platforms chose NVIDIA technologies for its AI Research SuperCluster, what it believes will be its most powerful research system to date.

@petewarden shared
On Jan 25, 2022
RT @daniel_d_kang: ML models are being deployed in mission-critical settings, such as autonomous vehicles. Shockingly, the data used to train these models are rarely checked! The Lyft Level 5 dataset has errors in 70% of the validation scenes, see our blog post: https://t.co/ShXWduGjt6 (1/5) https://t.co/Q8LH7DDZwi
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Finding Errors in Perception Data With Learned Observation Assertions

Finding Errors in Perception Data With Learned Observation Assertions

In this blog post, we’ll describe a new abstraction (learned observation assertions, LOA) and system (Fixy) for finding errors in perception data. As an example, we’re showing how …

@etzioni shared
On Jan 21, 2022
RT @allen_ai: "What year did Tom Hanks land on the moon?" Popular language model GPT-3 thinks it knows, but our smaller, smarter model Macaw gets it right! Compare answers between the two models across a variety of questions in our new interactive demo - learn more: https://t.co/WPzzSaonT7 https://t.co/Z0dWYjsL94
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Macaw Demo: The Little QA-System-That-Could

Macaw Demo: The Little QA-System-That-Could

AI2’s open-source QA model now has an interactive demo

@weballergy shared
On Jan 25, 2022
RT @QuantaMagazine: In a new column for Quanta, @stevenstrogatz explains how infinite series, often taught as “bit players in the great drama of calculus,” can reveal “the true structure of math — all of math.” https://t.co/iYbfRKRSvc
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How Infinite Series Reveal the Unity of Mathematics

How Infinite Series Reveal the Unity of Mathematics

Infinite sums are among the most underrated yet powerful concepts in mathematics, capable of linking concepts across math’s vast web.

@demishassabis shared
On Jan 25, 2022
Season 2 of the award-winning @DeepMind Podcast from the awesome and incredibly talented @FryRsquared is out now! If you are interested in what is happening at the cutting edge of AI, this is a great place to start. Episodes 1 & 2 (rest coming soon): https://t.co/0AyyISoYr3
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DeepMind: The Podcast

DeepMind: The Podcast

Get the inside story of how AI is being created and uncover the extraordinary ways artificial intelligence (AI) is transforming our world. In the highly-praised, award-nominated "DeepMind: ...

@peteskomoroch shared
On Jan 24, 2022
RT @tunguz: TinyML is bringing deep learning models to microcontrollers | TNW https://t.co/Npy3I3aZPL
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TinyML is bringing deep learning models to microcontrollers

TinyML is bringing deep learning models to microcontrollers

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Deep learning models owe their initial success to ...

@BaiduResearch shared
On Jan 25, 2022
RT @Baidu_Inc: Wonder what's in there for #TechTrends 2022? 👀 @BaiduResearch has just released our prediction for the Top 10 trends covering AI, autonomous driving, computing, and more. Check out this video, and let us know what excites you the most! Explore more at: https://t.co/8Jmhmmr12j https://t.co/jB8ukEJQ6R
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Top 10 Tech Trends in 2022 by Baidu Research

Top 10 Tech Trends in 2022 by Baidu Research

As we begin 2022, with the global pandemic continuing to bring turmoil and the global economy facing numerous challenges, artificial intelligence has become a key driving force of …

@rsalakhu shared
On Jan 21, 2022
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements – Machine Learning Blog | ML@CMU | Carnegie Mellon University https://t.co/xXo9vnBuJS
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Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

Figure 1: Training instability is one of the biggest challenges in training GANs. Despite the existence of successful heuristics like Spectral Normalization (SN) for improving stability, it ...

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