Tensor is a fundamental data structure in Machine Learning. I will clearly explain it today! Imagine you have pictures of cats. Each picture is made up of tiny pixels, and each pixel has some color values. Now, a tensor is a container that stores this data. TensorFlow,
RESEARCH
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Model Collisions: When X and Y Have Different Meanings
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oh also I think what would be really interesting is collisions where x and y do mean different things In this case it’s pretty intuitive; 1700 purples “means” essentially the same thing as 1702 purples; the model is working as expected next up is (x, y) with different meanings
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TSNE Visualization of Purple String Embeddings Structure
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BONUS TSNE: here's a graph of the embeddings of the different-lengthed purple strings, colored by the number of purples what a strange structure!
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Text Embedding Collision Discovery: Purple Repetition Experiment
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I think I found the first evidence of a collision in text embeddings! i.e. for an embedding function f, i found a text pair x, y where x ≠ y but emb(x) = emb(y) ok granted it isn't thatttt interesting but what I did was repeat the word purple from 1 to 8191 times. 'purple ' is
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Finding Hidden Optimization Opportunities in Complex Systems
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so much fun to pore over the details of a working system to find ideas for optimizations no one has noticed
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Universal Computers: Substrate-Invariant Physical Dynamics Design
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Not quite: the purpose of designing universal computers is to construct physical dynamics that can be described as invariant over a wide range of substrate dynamics
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Quebec AI-First Conglomerate: Building Global AI Leadership
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http://
QUEBEC.AI : The Québec AI-First Conglomerate “Our quest is not merely to ride the wave of AI, but to create the tides that shape the ocean of progress.” Orchestrating Québec's Emergence as a Global AI Powerhouse : https://
quebecartificialintelligence.com/about #AGIFirst #QuebecAI -
Programs as coarse-grained projections of physical computational states
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The program is not orthogonal to the physical state of the computer, it is a coarse grained projection of the physical state into a causal model
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Stanford HAI Grant Funding for AI Projects Announced
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Wondering which AI projects got grant funding this year? Subscribe to @StanfordHAI news and you’ll be among the first to know:
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MusicLM Reconstructs Music from Brain Activity Signals
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How can we reconstruct music from brain activity? Learn how our music generation model, MusicLM, was used to reconstruct music in this Research@ NYC lightning talk from Timo Denk, Software Engineer at Google → https://t.co/U8ph36azjv pic.twitter.com/IOgM0iH8BN
— Google AI (@GoogleAI) 9 février 2024How can we reconstruct music from brain activity? Learn how our music generation model, MusicLM, was used to reconstruct music in this Research@ NYC lightning talk from Timo Denk, Software Engineer at Google → https://
goo.gle/3SNJll2