Linking pages
- CASP14: what Google DeepMind’s AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics | Oxford Protein Informatics Group https://www.blopig.com/blog/2020/12/casp14-what-google-deepminds-alphafold-2-really-achieved-and-what-it-means-for-protein-folding-biology-and-bioinformatics/ 159 comments
- How Rogue AIs may Arise - Yoshua Bengio https://yoshuabengio.org/2023/05/22/how-rogue-ais-may-arise/ 142 comments
- Exploring Weight Agnostic Neural Networks – Google AI Blog https://ai.googleblog.com/2019/08/exploring-weight-agnostic-neural.html 66 comments
- NLP’s generalization problem, and how researchers are tackling it https://thegradient.pub/frontiers-of-generalization-in-natural-language-processing/ 40 comments
- Stacked Capsule Autoencoders http://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.html 9 comments
- Solomonic learning: Large language models and the art of induction - Amazon Science https://www.amazon.science/blog/solomonic-learning-large-language-models-and-the-art-of-induction 9 comments
- Sparse Transformers – Reinforced Knowledge https://reinforcedknowledge.com/sparse-transformers/ 4 comments
- The Past, Present, and Future of AI Hardware - SingleLunch https://singlelunch.com/2024/04/23/ml_microprocessor_history/ 2 comments
- Kevin Zakka's Blog https://kevinzakka.github.io/2020/02/10/nca/ 1 comment
- AdaTape: Foundation model with adaptive computation and dynamic read-and-write – Google Research Blog https://ai.googleblog.com/2023/08/adatape-foundation-model-with-adaptive.html 1 comment
- A Future History of Biomedical Progress | Markov Bio https://markov.bio/biomedical-progress/ 0 comments
- Synthesizing Neurosymbolic Programs | SIGPLAN Blog https://blog.sigplan.org/2020/04/15/synthesizing-neurosymbolic-programs/ 0 comments
- Creativity and search https://vishakh.me/posts/creativity_search/ 0 comments
- The Unreasonable Ineffectiveness of Deep Learning on Tabular Data | by Paul Tune | Towards Data Science https://towardsdatascience.com/the-unreasonable-ineffectiveness-of-deep-learning-on-tabular-data-fd784ea29c33 0 comments
- LEAF: A Learnable Frontend for Audio Classification – Google AI Blog https://ai.googleblog.com/2021/03/leaf-learnable-frontend-for-audio.html 0 comments
- How a riddle proves there's no "objective" predictive model. https://altdeep.substack.com/p/how-a-riddle-proves-theres-no-objective 0 comments
- Toward Fast and Accurate Neural Networks for Image Recognition – Google AI Blog https://ai.googleblog.com/2021/09/toward-fast-and-accurate-neural.html 0 comments
- Balanced samples are good, balancing samples is bad https://simplicityissota.substack.com/p/balanced-samples-are-good-balancing 0 comments
- Truth https://compphil.github.io/truth/ 0 comments
- Why AGI is closer than you think - by Samuel Hammond https://www.secondbest.ca/p/why-agi-is-closer-than-you-think 0 comments
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