Hacker News
- Quantum complexity tamed by machine learning https://www.quantamagazine.org/quantum-complexity-tamed-by-machine-learning-20220207/ 21 comments
- Machine Learning, Kolmogorov Complexity, and Squishy Bunnies (2019) http://www.theorangeduck.com/page/machine-learning-kolmogorov-complexity-squishy-bunnies 9 comments
- Machine Learning, Kolmogorov Complexity, and Squishy Bunnies (2019) http://theorangeduck.com/page/machine-learning-kolmogorov-complexity-squishy-bunnies 21 comments
- The Computational Complexity of Machine Learning https://www.cs.utexas.edu/~klivans/395t.html 7 comments
Lobsters
- Machine Learning, Kolmogorov Complexity, and Squishy Bunnies http://theorangeduck.com/page/machine-learning-kolmogorov-complexity-squishy-bunnies 2 comments ai , graphics , math
- A new kind of machine-learning model built by a team of researchers at the music-streaming firm Spotify captures for the first time the complex math behind counterfactual analysis, a precise technique that can be used to identify the causes of past events and predict the effects of future ones. https://www.technologyreview.com/2023/04/04/1070885/complex-math-counterfactuals-spotify-predict-finance-healthcare 23 comments futurology
- Pushing the frontiers of density functionals by solving the fractional electron problem || Machine-Learning methods used to improve Density Functional Theory models of chemical systems || DM21 models complex systems such as hydrogen chains, charged DNA base pairs, diradical transition states. https://www.science.org/doi/10.1126/science.abj6511 2 comments science
- A Machine Learning Metric of Chess Complexity https://github.com/Amethyst-Cat/ChessComplexity/blob/master/A%20Metric%20of%20Chess%20Complexity.pdf 14 comments chess
- Using machine learning to predict the collapse & stabilization of complex systems? http://stackoverflow.com/questions/26149416/using-machine-learning-to-predict-the-collapse-stabilization-of-complex-system 11 comments compsci
- Pattern Recognition and Machine Learning - gentle request for help to better understand complex matrix calculus https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf 8 comments learnmachinelearning
- Dataship: a way to share data and analysis, from simple charts to complex machine learning, with anyone in the world easily and for free. https://dataship.io/ 5 comments datascience
- Rigour leading to insight in questions where we already 'knew' the answer: adversary method for quantum query complexity, smoothed analysis for simplex algorithms, reproofs of boosting in machine learning, natural proofs for P vs NP, and many other examples. http://cstheory.stackexchange.com/q/2136/1037/ 8 comments compsci
- A research team from China developed novel AI that accurately predicts synergistic cancer drug combinations. The study revealed the potential of applying AI and machine learning to discover effective combinations in therapies for cancer and other complex diseases https://medicalxpress.com/news/2021-12-ai-accurately-synergistic-cancer-drug.html 2 comments futurology
- Scientists in Japan find molecular patterns that may help identify extraterrestrial life. They have developed a machine learning technique which assesses complex organic mixtures using mass spectrometry to reliably classify them as biological or abiological. https://www.titech.ac.jp/english/news/2021/060971 5 comments science
- Cat, dog, or Elon Musk? - Getting started with machine learning with Python and TensorFlow 2.0. Super easy intro into a fairly complex topic. What do you think about the article? https://towardsdatascience.com/cat-dog-or-elon-musk-145658489730 5 comments learnmachinelearning
- Brain-computer interfaces (BCIs) offer potential for neurological conditions, but implementation is complex. Researchers integrated focused ultrasound into a bidirectional BCI, decoding brain waves using machine learning in a study with 25 human subjects, enhancing signal quality and BCI performance https://www.nature.com/articles/s41467-024-48576-8 5 comments science
- Learning skillful medium-range global weather forecasting | GraphCast is a key advance in accurate and efficient weather forecasting, and helps realize the promise of machine learning for modeling complex dynamical systems https://www.science.org/doi/10.1126/science.adi2336 2 comments science
- Using a mesh of nanowires as a physical neural network, researchers have made it learn and remember "on the fly," similar to how the brain's neurons work. The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks. https://phys.org/news/2023-10-nanowire-brain-network-fly.html 33 comments futurology