stateoftheart.ai

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stateoftheart.ai

stateoftheart.ai

@StateoftheartAI

An open-data and free platform built by the research community to facilitate the collaborative development of AI

Katılım Kasım 2018
344 Takip Edilen924 Takipçiler
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stateoftheart.ai
stateoftheart.ai@StateoftheartAI·
Hello NeurIPS and Hello World, we are back and excited to launch Stateoftheart AI!... an open-data and free platform that facilitates the collaborative development of AI by mapping and visualizing its progress, evolution, & frontier. Explore more at stateoftheart.ai (1/4)
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stateoftheart.ai
stateoftheart.ai@StateoftheartAI·
Team of 3 engineers open for remote work. US time zones.
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stateoftheart.ai
stateoftheart.ai@StateoftheartAI·
We are exploring the possibility of an acquihire of our assets and/or our engineering team. Please reach to campero@mit.edu if you are interested.
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Andrew Ng
Andrew Ng@AndrewYNg·
Announcing the NeurIPS Data-Centric AI workshop! This will be the premier event for academic research on Data-Centric AI. Deadline for research article submissions is Sep 30th. Check it out! datacentricai.org
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Omar Sanseviero
Omar Sanseviero@osanseviero·
🧠 Would you like to learn about Graph Neural Networks? Stanford is organizing a workshop with leaders of academia and industry. 🤖 The schedule looks amazing and will be streamed for free! You can register at snap.stanford.edu/graphlearning-…
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Stanford HAI
Stanford HAI@StanfordHAI·
NEW: This comprehensive report investigates foundation models (e.g. BERT, GPT-3), which are engendering a paradigm shift in AI. 100+ scholars across 10 departments at Stanford scrutinize their capabilities, applications, and societal consequences. bit.ly/3xZPFYK
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Kording Lab 🦖
Kording Lab 🦖@KordingLab·
And with the last party of the last timezone of the last @neuromatch academy course (DL) all I can do is express my gratitude to the wonderful team and participants. So much learn. So much community. much ❤️,🦖
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Ethan Caballero
Ethan Caballero@ethanCaballero·
Stanford's ~entire AI Department has just released a 200 page 100 author Neural Scaling Laws Manifesto. They're pivoting to positioning themselves as #1 at academic ML Scaling (e.g. GPT-4) research. "On the Opportunities and Risks of Foundation Models" arxiv.org/abs/2108.07258
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Miguel Núñez 🇲🇽
Miguel Núñez 🇲🇽@NunezKant·
I really really liked the question: "Why we have a brain in the first place?" to start the tutorial for today at @neuromatch DL course. Amazing material reviewing "representations" and self-supervised learning, thanks @tyrell_turing !
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Neuromatch
Neuromatch@neuromatch·
Second week of #Neuromatch DL is done where students have learned about basics of Convnets, RNNs, Attention, & Generative models. It's now time to decompress for the 2nd time and attend professional development sessions on Saturday (August-14). Details in 🧵
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MIT CSAIL
MIT CSAIL@MIT_CSAIL·
#otd in 1991 Tim Berners-Lee first posted on an online newsgroup about a project he was working on called "The World Wide Web."
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Grant Sanderson
Grant Sanderson@3blue1brown·
Thanks to the help of some interns, many of my videos have now been adapted into a written/interactive form. The clip below shows an example of one interactive elements made for the neural networks series by @PullJosh. If you have a moment, take a look. 3blue1brown.com
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