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Top news of the week: 09.09.2021.

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Research

@NandoDF shared
On Sep 6, 2021
RT @yukez: My Robot Learning class @UTCompSci is updated with the latest advances and trends, such as implicit representations, attention architectures, offline RL, human-in-the-loop, and synthetic data for AI. All materials will be public. Enjoy! #RobotLearning https://t.co/a6QGzbMaZB
Open
CS391R: Robot Learning

CS391R: Robot Learning

It demands a new form of general-purpose robot autonomy that robots understand the world through the lens of its perception and make informed decisions accordingly. This course …

@hardmaru shared
On Sep 8, 2021
RT @SchmidhuberAI: The most cited neural nets all build on our work: LSTM. ResNet (open-gated Highway Net). AlexNet & VGG (like our DanNet). GAN (an instance of our Artificial Curiosity). Linear Transformers (like our Fast Weight Programmers). https://t.co/dIjXdgWaxU
Open
The most cited neural networks all build on work done in my labs

The most cited neural networks all build on work done in my labs

Here I discuss: (1) Long Short-Term Memory[LSTM0-17] (LSTM), the most cited NN of the 20th century, (2) ResNet, the most frequently cited NN of the 21st century (which is an …

@mxlearn shared
On Sep 4, 2021
[R] How machine learning will revolutionise physics simulations in games? https://t.co/8MHA9RNi2m
Open
[R] How machine learning will revolutionise physics simulations in games?

[R] How machine learning will revolutionise physics simulations in games?

148 votes and 22 comments so far on Reddit

@petewarden shared
On Sep 8, 2021
RT @TensorFlow: 🔊 On-device ML with audio is much easier now! Learn all about the new tools and libraries released to help you train and deploy audio models in your app. Read the blog from @gusthema → https://t.co/ecHsoETgXk https://t.co/vGOguacZZe
Open
Easy Machine Learning for On-Device Audio

Easy Machine Learning for On-Device Audio

At Google I/O, we shared a set of tutorials to help you use machine learning on audio. In this blog post you'll find resources to help you develop and

@stanfordnlp shared
On Sep 6, 2021
RT @gneubig: Happy to release the first video lectures for CMU 11-711 Advanced NLP (the successor to 11-747 Neural Nets for NLP) 😃 Check it out and follow along through the semester for an advanced graduate course on #nlproc! Site: https://t.co/L1E8AGri96 Videos: https://t.co/rKfHUdngTn
Open
Advanced NLP

Advanced NLP

Natural language processing technology attempts to model human language with computers, tackling a wide variety of problems from automatic translation to question …

@NVIDIADC shared
On Sep 3, 2021
RT @NVIDIAAIDev: Developing a non-English ASR model? Try tutorials for building non-English ASR, speech commands, speaker recognition and other #speechrecognition models using #NVIDIANeMo open source toolkit. https://t.co/Gr0mCeZ2sv https://t.co/RmMUHuNI4H
Open
Speech Recognition Tutorials

Speech Recognition Tutorials

NeMo: a toolkit for conversational AI. Contribute to NVIDIA/NeMo development by creating an account on GitHub.

@hardmaru shared
On Sep 3, 2021
RT @distillpub: A Gentle Introduction to Graph Neural Networks by @beangoben, @emilyrreif, @adamrpearce, and Alex Wiltschko. https://t.co/camcvp1cMS
Open
A Gentle Introduction to Graph Neural Networks

A Gentle Introduction to Graph Neural Networks

What components are needed for building learning algorithms that leverage the structure and properties of graphs?

@mxlearn shared
On Sep 3, 2021
[N] Salesforce Open-Sources ‘WarpDrive’, A Light Weight Reinforcement Learning (RL) Framework That Implements End-To-End Multi-Agent RL On A Single GPU https://t.co/acEHgLvdd1
Open
[N] Salesforce Open-Sources ‘WarpDrive’, A Light Weight Reinforcement Learning (RL) Framework That Implements End-To-End Multi-Agent RL On A Single GPU

[N] Salesforce Open-Sources ‘WarpDrive’, A Light Weight Reinforcement Learning (RL) Framework That Implements End-To-End Multi-Agent RL On A Single GPU

9 votes and 3 comments so far on Reddit

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