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Top news of the week: 23.03.2021.

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Research

@NalKalchbrenner shared
On Mar 22, 2021
RT @FrancescoLocat8: Cool VentureBeat review of our paper "Towards Causal Representation Learning" w/ @bschoelkopf, S.Bauer, @rosemary_ke, @NalKalchbrenner, @anirudhg9119, Y. Bengio Paper: https://t.co/4Dor9g6Hsw Article: https://t.co/vw4dVP3OdZ
Open
Why machine learning struggles with causality

Why machine learning struggles with causality

Humans intuitively understand causality; AI struggles. Researchers look at how to create AI systems that can learn causal representations.

@hmason shared
On Mar 18, 2021
What happens when your massive text-generating neural net starts spitting out people's phone numbers? https://t.co/3BwGygVTcG ...because yes, this did happen to me.
Open
What happens when your massive text-generating neural net starts spitting out people's phone numbers? If you're OpenAI, you create a filter

What happens when your massive text-generating neural net starts spitting out people's phone numbers? If you're OpenAI, you create a filter

How to curb GPT-3's tongue

@etzioni shared
On Mar 19, 2021
RT @MadronaVentures: GPT-3 from @OpenAI took the tech world by storm in 2020. @etzioni of @allen_ai (AI2) and @mattmcilwain delve into the four areas where startups, like the newly announced @copy_ai and @OthersideAI, will innovate on this technology in 2021. https://t.co/saVPbhtkjv
Open
Why Startups Will Be At The Forefront of GPT-3 Adoption – Four Trends For 2021

Why Startups Will Be At The Forefront of GPT-3 Adoption – Four Trends For 2021

Originally published on TechCrunch.com Startups are leading the way. The introduction of GPT-3 in 2020 was a tipping point for artificial intelligence. In 2021, this technology will power ...

@jure shared
On Mar 16, 2021
We excited to announce OGB-LSC at KDD Cup 2021: A Large-Scale Challenge for Machine Learning on Graphs. Competition ends until June 8. Looking forward to your participation! @kdd_news https://t.co/I0hn0YXmiq https://t.co/4306myYtpg
Open
Why a Large-Scale Graph ML Competiton?

Why a Large-Scale Graph ML Competiton?

Why a Large-Scale Graph ML Competiton? Machine Learning (ML) on graphs has attracted immense attention in recent years because of the prevalence of graph-structured data in real-world ...

@AndrewYNg shared
On Mar 16, 2021
I’ve been thinking about how to accelerate how all of us build and deploy ML, and have some ideas I want to share. I hope you’ll join me on this interactive livestream next Wednesday to chat over some ideas! https://t.co/h8KHxoPOD9
Open
Organizer DeepLearning.AI

Organizer DeepLearning.AI

Dr. Andrew Ng discusses the skills he sees as fundamental to the next generation of machine learning practitioners.

@thinkmariya shared
On Mar 22, 2021
Here's a great introduction to probabilistic programming. This method allows us to largely automatize the process of statistical inference in the models, making it easy to use without knowing all the tricks and intricacies of Bayesian inference. https://t.co/AOYtiYmCqB #Bayesian
Open
Variational Methods in Deep Learning

Variational Methods in Deep Learning

Probabilistic programming allows us to largely automatize the process of statistical inference in the models, without having to know all the tricks of Bayesian inference in large models.

@AlisonBLowndes shared
On Mar 18, 2021
RT @ZDNet: This powerful supercomputer was built in just 20 weeks, with a bit of help from a tiny robot https://t.co/FPNagp1HDS
Open
This powerful supercomputer was built in just 20 weeks, with a bit of help from a tiny robot

This powerful supercomputer was built in just 20 weeks, with a bit of help from a tiny robot

Nvidia announced that it would build Cambridge-1 only 20 weeks ago. Now the supercomputer is almost up and running, despite a global health crisis.

@petewarden shared
On Mar 16, 2021
RT @LukeBerndt: Want to build a TinyML Audio Sensor? I put together a guide on everything I learned from building one... including my mistakes. There is great tooling and dev boards that make it very accessible... Give it a try! https://t.co/IEshJy5Mot https://t.co/iRiUCnwbsy
Open
Audio-Sensor-Toolkit/guide/overview.md

Audio-Sensor-Toolkit/guide/overview.md

A guide and set of tools for working with TinyML powered Audio Sensors - IQTLabs/Audio-Sensor-Toolkit

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