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In the Last 48 hours there's been 14 influencers like Miles_Brundage and GoAbiAryan, discussing topics such as #AutoML, #ICML2019and #AI.



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News

Safe and Ethical AI Research Fellows

On Jun 14, 2019
@sidneyfussell shared
RT @adrian_weller: We’re hiring for safe and ethical AI at the Turing Institute. Deadline 25th June. Also opportunities for more senior and junior folks. If you’re at ICML and interested, please contact me. https://t.co/kU6IaFVSRa
Open

The Alan Turing Institute is looking to hire up to three full-time Research Fellows to work on one or more themes of Safe and Ethical AI: Fairne

On Jun 14, 2019
@sidneyfussell shared
RT @adrian_weller: We’re hiring for safe and ethical AI at the Turing Institute. Deadline 25th June. Also opportunities for more senior and junior folks. If you’re at ICML and interested, please contact me. https://t.co/kU6IaFVSRa
Open

Safe and Ethical AI Research Fellows

The Alan Turing Institute is looking to hire up to three full-time Research Fellows to work on one or more themes of Safe and Ethical AI: Fairne


On Jun 14, 2019
@math_rachel shared
Jeff Dean discusses the importance of computational efficiency: - predicting when to stop unpromising experiments - better training regimens - predicting full dataset accuracy from curacy on a small subset and a shout-out to https://t.co/ktYtgBpxGr progressive resizing :-) https://t.co/fC3CtdGlHc
Open

Making neural nets uncool again

It’s a small world indeed… The dataset collection The following categories are currently included in the collection: Image classification, with a focus on fine-grained classification and ...

On Jun 14, 2019
@jackclarkSF shared
RT @apilipis: Excited to present a poster at the Climate Change + AI Workshop @icmlconf tomorrow on the "Grid Resilience & Intelligence Platform" project @SLAClab! Come by room 104A to learn how we're using ML to anticipate, absorb and recover f/ grid events! https://t.co/3V5q1lkOIT
Open
On Jun 14, 2019
@math_rachel shared
RT @ledell: Delighted that @math_rachel from @fastdotai is giving a keynote at the #ICML2019 AutoML workshop! Check out her 3-part blog series about #AutoML: https://t.co/hhKoPE5Avz https://t.co/qwfcEUeVix
Open

What do machine learning practitioners actually do?

It will address what it is that machine learning practitioners do, with Part 2 explaining AutoML and neural architecture search (which several high profile figures have suggested will be ...

On Jun 14, 2019
@DeepMindAI shared
And read more about our prior work on AI for climate change: https://t.co/0uUA4MN2gC
Open

Machine learning can boost the value of wind energy

Since last year, a joint DeepMind/Google project to apply machine learning to 700 MW of wind power in the central US has so far boosted the value of wind energy by ~20%. A neural net ...

On Jun 15, 2019
@terahlyons shared
A direct link to PAI’s research referenced on risk assessment tools: https://t.co/Y1VhMwQ3Lj
Open

Report on Algorithmic Risk Assessment Tools in the U.S. Criminal Justice System

Relative to OECD and Historical Baselines Exhibit 1 - Source: Bureau of Justice Statistics, World Prison Brief—Birkbeck, University of London (2015/2016 data) Note: U.S. 1960 figure ...

On Jun 13, 2019
@BulletinAtomic shared
How YouTube was recommending kids’ videos to pedophiles: Researcher @JonasKaiser talks about the YouTube algorithm that might decide that a person who watches a video of a woman asking for a sugar daddy also wants to see videos of kids swimming in a pool: https://t.co/D2do3XlWfH https://t.co/of4zni09j2
Open

How YouTube was recommending kids’ videos to pedophiles

YouTube’s recommendation engine is an artificial-intelligence-based system designed to automatically push users videos that stand a good chance of keeping them on the platform longer. It’s ...

On Jun 13, 2019
@Miles_Brundage shared
RT @seb_ruder: New blog post: My @NAACLHLT 2019 highlights—transfer learning, common sense reasoning, natural language generation, bias, non-English languages, and diversity and inclusion #BenderRule https://t.co/C9mOXjBpKJ https://t.co/1Ztr5DqmgM
Open

NAACL 2019 Highlights

This post discusses highlights of NAACL 2019. It covers transfer learning, common sense reasoning, natural language generation, bias, non-English languages, and diversity and inclusion.

On Jun 13, 2019
@goodfellow_ian shared
RT @liu_mingyu: The #GauGAN beta version is now available to everyone as a web service via https://t.co/B2Ub9mI40y #NVIDIA AI Playground A short illustration video is available in https://t.co/9dutBqut1A May everybody have fun with the app. #GAN, #SPADE https://t.co/mS3OLsz36q
Open

NVIDIA AI PLAYGROUND

Interact with live demos based on NVIDIA Research, with links to whitepapers and GitHub source code

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