AI Essentials

Research

Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

Top news of the week: 26.08.2021.

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Research

@mxlearn shared
On Aug 21, 2021
[R] The paper deep crowd counting research deserves, but not the one it (seems to) want right now. https://t.co/Su5QOTU791
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@SebastianThrun shared
On Aug 23, 2021
RT @cresta: We would like to officially welcome Ping Wu as our Vice President of Engineering and Product! Ping was the co-founder of Google's Contact Center AI solution and has spent the last 13 years developing industry-leading Conversational AI products. https://t.co/uX8DHfuSxN
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Cresta Welcomes Google Contact Center AI Co-Founder As Market Reaches $26B in Spending

Cresta Welcomes Google Contact Center AI Co-Founder As Market Reaches $26B in Spending

Cresta Welcomes Google Contact Center AI Co-Founder As Market Reaches $26B in Spending

@stanfordnlp shared
On Aug 24, 2021
RT @siddkaramcheti: We're excited to open-source Mistral 🚀 - a codebase for accessible large-scale LM training, built as part of Stanford's CRFM (https://t.co/Va2cGpkrJe). We're releasing 10 GPT-2 Small & Medium models with different seeds & 600+ checkpoints per run! https://t.co/wSdqrswga3 [1/4]
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Our Mission

Our Mission

What is a foundation model? We call such a model a foundation model. The Center for Research on Foundation Models (CRFM) is an interdisciplinary initiative born out of the …

@peteskomoroch shared
On Aug 23, 2021
RT @pragmaticml: I've been wishing for a "Hugging Face for OCR" for a long time, and it seems like @MindeeAPI is making that wish a reality. Their open source library "Doctr" seems like the beginnings of something great! https://t.co/MWK3VQwtAc
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DocTR: Document Text Recognition

DocTR: Document Text Recognition

Document Text Recognition (DocTR) made seamless, high-performing & accessible to anyone using Deep Learning for OCR-related tasks. - GitHub - mindee/doctr: Document Text Recognition ...

@jeremyphoward shared
On Aug 24, 2021
I just discovered that @ConversationEDU has an analytics page, and my article on masks last year has over a million views! 🤯 https://t.co/f5xnq99bBt https://t.co/rG5aSvWNxS
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Masks help stop the spread of coronavirus – the science is simple and I’m one of 100 experts urging governors to require public mask-wearing

Masks help stop the spread of coronavirus – the science is simple and I’m one of 100 experts urging governors to require public mask-wearing

Recommendations around mask usage are confusing. The science isn't. Evidence shows that masks are extremely effective to slow the coronavirus and may be the best tool available right now to ...

@deliprao shared
On Aug 19, 2021
@lorenlugosch Interesting lesson in branding and brand capture, but there's enough critical mass for it to stick. Too bad my "Very Large Parameter models" term did not stick. Almost a year ago, I made a case for studying such models differently. https://t.co/sOkuUpblMb
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Ride the Hardware Lottery!

Ride the Hardware Lottery!

Issue #3: Why comparing models like GPT-3 with human brain/intelligence is flawed in a unique way.