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South Park Commons in South Park Commons

Dec 22, 2020

Announcing the SPC Founder Fellowship

At South Park Commons, our members encourage each other to…

4 responses

South Park Commons in South Park Commons

Jun 10, 2021

SPC Founder Fellowship Summer ’21 Applications Open

Catherine Olsson in South Park Commons

Oct 12, 2017

How to make your data and models interpretable by learning from cognitive science

1 response

joseph reisinger in South Park Commons

Aug 17, 2017

matmul() is eating software

Last week Zak Stone from Google Brain gave a talk at South Park Commons where he wove together a bunch of…

South Park Commons in South Park Commons

Jan 17, 2018

Ashton Eaton: From Olympic Gold to Tech

Yaroslav Bulatov in South Park Commons

Feb 8, 2018

OTODSCINOs: The Root Cause of Slow Neural Net Training

I’ve been interested in the fundamentals of numerical optimization ever since dropping in Stephen Boyd’s “Convex Optimization” class in Stanford years ago. Theory developed in this field can be used to answer questions faced by today’s…

2 responses

Yaroslav Bulatov in South Park Commons

May 5, 2019

Scaling Transformer-XL to 128 GPUs

Yaroslav Bulatov, Ben Mann, Darius Lam

3 responses

South Park Commons in South Park Commons

Sep 13, 2021

Announcing the SPC-Agency Fund Social Impact Fellowship

South Park Commons in South Park Commons

Feb 26, 2018

How Can AI Be Best Applied to Quantitative Finance?

The AI revolution is already changing wide swathes of society, impacting core institutions like healthcare, education, and criminal justice as well as creative industries like music and media. In some sectors, the set of algorithms and…

joseph reisinger in South Park Commons

Jan 18, 2018

What was AI in 2017?

When I started grad school in 2005, AI was still a taboo word, an anachronism used only by centuries-old emereti and some…

These were the top 10 stories published by South Park Commons; you can also dive into yearly archives: 2017, 2018, 2019, 2020, 2021, 2022, and 2023.

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South Park Commons

SPC is a home for the most talented technologists, builders, and domain-experts figuring out what’s next — a community designed to turn the chaos of possibility into the clarity of conviction.

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