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Top news of the week: 14.10.2021.

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@mxlearn shared
On Oct 13, 2021
Schmidhuber pays tribute to Kunihiko Fukushima for winning the 2021 The Bower Award for Achievement in Science, for his pioneering research that applied principles of neuroscience to AI through his invention of the first deep convolutional neural network. https://t.co/AmeqxJQzAR
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Schmidhuber pays tribute to Kunihiko Fukushima for winning the 2021 The Bower Award for Achievement in Science, for his pioneering research that applied principles of neuroscience to AI through his invention of the first deep convolutional neural network.

Schmidhuber pays tribute to Kunihiko Fukushima for winning the 2021 The Bower Award for Achievement in Science, for his pioneering research that applied principles of neuroscience to AI through his invention of the first deep convolutional neural network.

52 votes and 5 comments so far on Reddit

@NandoDF shared
On Oct 13, 2021
RT @ryan_hoque: Is your robot pestering you? Robots learning a new task should only ask humans for help when needed. Our new algorithm ThriftyDAgger will be presented at #CORL2021 from @AUTOLab_Cal @berkeley_ai (1/8) Website w/ paper, code, videos: https://t.co/iP5KEGgEiQ https://t.co/EsMcJnc2Db
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ThriftyDAgger: Budget-Aware Risk and Novelty Gating for Interactive Imitation Learning

ThriftyDAgger: Budget-Aware Risk and Novelty Gating for Interactive Imitation Learning

Paper: [Link] | Code: [Link]

@demishassabis shared
On Oct 12, 2021
RT @DeepMind: Does Bayesian deep learning work? The Neural Testbed provides tools to evaluate uncertainty estimates. These tools assess both the quality of marginal prediction per input & joint predictions given many inputs. Github: https://t.co/0xdiYiiDwQ Paper: https://t.co/UFgXYwf6Ln 1/ https://t.co/7xSmb6VEHM
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The Neural Testbed

The Neural Testbed

Contribute to deepmind/neural_testbed development by creating an account on GitHub.

@shakir_za shared
On Oct 13, 2021
RT @dtbyler: It is book launch week! Very happy to publish this excerpt from the intro and conclusion of IN THE CAMPS in @techreview: https://t.co/khLYorLiDI If you want to hear more about the book, I’ll be speaking with Jessica Batke & @susanjakes on Wednesday. Join us from wherever you are! https://t.co/Md3N9PP9M4
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The covid tech that is intimately tied to China’s surveillance state

The covid tech that is intimately tied to China’s surveillance state

In March 2020, companies such as Russell Stover Chocolates and US Engineering, a Kansas City, Missouri–based mechanical contracting company, bought $1.2 million worth of tests and …

@hardmaru shared
On Oct 12, 2021
A machine learning bot that tweets short summaries from the latest machine learning papers. @SummarizedML bot uses the model from “TLDR: Extreme Summarization of Scientific Documents” (https://t.co/Sn8JosE0Le) Demo it yourself → https://t.co/zaO6Brixn7 https://t.co/ynQdfniOmh
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[P] @SummarizedML: A Twitter bot that summarizes the latest ML papers

[P] @SummarizedML: A Twitter bot that summarizes the latest ML papers

I wanted to share my latest project, SummarizedML. SummarizedML is a Twitter bot that uses machine learning to summarize the latest ML papers. I have always been frustrated with …

@BaiduResearch shared
On Oct 11, 2021
New updates on PaddleFL, an open-source federated learning framework on PaddlePaddle: 🔷Two-party MPC learning protocol PrivC 🔷YoutubeDNN with_movielens on ABY3, Linear & Logistic Regression on PrivC 🔷APIs of data sharing & revealing 🔷GRPC Communication https://t.co/wXpB7A7BdP https://t.co/vHWPCyStcB
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PaddlePaddle / PaddleFL Public

PaddlePaddle / PaddleFL Public

Federated Deep Learning in PaddlePaddle. Contribute to PaddlePaddle/PaddleFL development by creating an account on GitHub.

@erichorvitz shared
On Oct 11, 2021
RT @besanushi: Happy to share our work on Backward Compatibility in Machine Learning at a dedicated tutorial on compatibility @ICCV_2021 that summarizes recent work on the topic https://t.co/fMokYw9UFA You can listen to this and other talks through the broadcast link: https://t.co/8NKnTBcOth https://t.co/Tj4aD7J8tR
Open
ICCV 2021 Tutorial on Cross-Model Compatibility

ICCV 2021 Tutorial on Cross-Model Compatibility

This tutorial aims at introducing the problem of cross model compatibility in computer vision to the community. Compatibility arises when multiple models are used to solve a …

@WIREDScience shared
On Oct 11, 2021
If you've finally hit your breaking point, here's how to say goodbye to Mark Zuckerberg's empire. https://t.co/XOEA6jCRwH
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How to Permanently Delete Your Facebook Account

How to Permanently Delete Your Facebook Account

If you've finally hit your breaking point, here's how to say goodbye to Mark Zuckerberg's empire.

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