Nima Dokoohaki @nimdoc
#AI engineering and leadership, currently working on applied #ComputerVision. #RecSys researcher. PhD fr @KTHuniversity. opinions expressed are my own. nimadokoohaki.com France, Sweden Joined January 2011-
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Nima Dokoohaki retweeted
Can AI help understand how the brain learns to see the world? Our latest study, led by @JRaugel from FAIR at @AIatMeta and @ENS_ULM, is now out! 📄 arxiv.org/pdf/2508.18226 🧵 A thread:
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Nima Dokoohaki retweeted
Energy-Based Transformers are Scalable Learners and Thinkers
Nima Dokoohaki retweeted
beautiful explanations of self-attention 💡 wild that one little math hack made all these possible.
beautiful explanations of self-attention 💡 wild that one little math hack made all these possible. https://t.co/s094fVOL8e
Nima Dokoohaki retweeted
The official trailer for the official Python documentary is out!!! ❤️to Ida.
The official trailer for the official Python documentary is out!!! ❤️to Ida.
Nima Dokoohaki retweeted
Nima Dokoohaki retweeted
Training of a 2 → 100 → 2 → 5 fully connected ReLU neural net via cross-entropy minimisation. • it starts outputting small embeddings • around epoch 300 learns an identity function • takes 1700 epochs more to unwind the data manifold
Nima Dokoohaki retweeted
We trained a graph-native AI, then let it reason for days, forming a dynamic relational world model on its own - no pre-programming. Emergent hubs, small-world properties, modularity, & scale-free structures arose naturally. The model then exploited compositional reasoning &…
Nima Dokoohaki retweeted
Fourier transform. Visualized. This is the secret to how human memory is encoded.
Nima Dokoohaki retweeted
Yann LeCun on architectures that could lead to AGI
Nima Dokoohaki retweeted
Deep Research just dropped a wild list... 20 jobs that OpenAI o3 will replace humans.
Nima Dokoohaki retweeted
LLM running on Windows 98 PC 26 year old hardware with Intel Pentium II CPU and 128MB RAM. Uses llama98.c, our custom pure C inference engine based on @karpathy llama2.c Code and DIY guide 👇
Watch this tedtalk if you follow current trends in AI. I had the very pleasure of following @jengolbeck work during my research on online trust and I agree with her every word. youtu.be/Tq6_7XyCyyI?si…
Nima Dokoohaki retweeted
Python is now #1 like it should be.
Nima Dokoohaki retweeted
Brain studies show that language is not essential for the cognitive processes that underlie thought via @sciam scientificamerican.com/article/you-do…
Nima Dokoohaki retweeted
This year’s #NobelPrize laureate in physics John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. The Hopfield network can store patterns and has a method for recreating them. When the network is given an…
Nima Dokoohaki retweeted
The 2024 #NobelPrize laureates in physics used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning. John Hopfield created a structure that can store and reconstruct information. Geoffrey Hinton invented a method that can…
Nima Dokoohaki retweeted
An IBM slide from 1979.
Nima Dokoohaki retweeted
#Otd in 1955, the term “artificial intelligence” was coined in a conference proposal: stanford.io/2WJJJGN
Nima Dokoohaki retweeted
Sakana AI, the automated research scientist, is an open-source project! Should I make a tutorial for it? github.com/SakanaAI/AI-Sc…
Nima Dokoohaki retweeted
Must read: A Visual Guide to Quantization newsletter.maartengrootendorst.com/p/a-visual-gui…
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