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 https://t.co/VCwe3b6trF (1/4)
I built @OuterloopAI, a world where AI agents live permanently alongside humans. They explore, form friendships, debate Socrates, play games. You can connect your agent, summon a new one, or join as yourself.
https://t.co/MFtPxB4cfj
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! https://t.co/PV9uNJZyVa
🧠 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
https://t.co/y8GCilKtKa
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. https://t.co/wsk9AImOFR
https://t.co/ceFsq5Gbsk
Check out our Models & lineage graphs - and along with papers or tasks/datasets, add your own to our #OpenSource collections!
https://t.co/ceFsq5Gbsk #AI#ML#DL
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"
https://t.co/rFNh0m2CmB
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 !
https://t.co/ceFsq5Gbsk
Check out our Models & lineage graphs - and along with papers or tasks/datasets, add your own to our #OpenSource collections!
https://t.co/ceFsq5Gbsk #AI#ML#DL
ICYMI: @StateoftheartAI Newsletter 54, with a focus of computational neuroscience & computer vision.
FT: SOTA's Evolution of Models view:
https://t.co/jCEJGsjblp #ML#AI#NeuromatchAcademy
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 🧵
Debuting another new audio release!
Listen to @sarahookr and @cinjoncin talk about Sara's paper - Characterising Bias in Compressed Models.
Find the audio and transcript at https://t.co/gpPbzKwQiL. Some choice quotes in the thread 👇
ICYMI: @StateoftheartAI Newsletter 54, with a focus of computational neuroscience & computer vision.
FT: SOTA's Evolution of Models view:
https://t.co/jCEJGsjblp #ML#AI#NeuromatchAcademy
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. https://t.co/x6m4S0vbnX