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Nov 25, 2020 - 11/25/20 - Precision scaling has emerged as a popular technique to optimize the compute and storage requirements of Deep Neural Networks (DNN... ax bxp approximate blocked computation https://www.caltech.edu/campus-life-events/calendar/computation-and-neural-systems-seminar-70 Computation and Neural Systems Seminar - www.caltech.edu Social Affective Neuroscience in Japan computation neural systems seminar www https://the-decoder.com/transnar-deepminds-hybrid-ai-beats-pure-language-models-in-reasoning/ TransNAR: Neural Algorithmic Reasoners bring robust computation to transformers Jun 14, 2024 - Researchers from Google DeepMind have developed a hybrid AI architecture that combines transformers with networks specialized in logical reasoning. The result... neural algorithmic bring robust computation https://www.cmu.edu/dietrich/news/news-stories/2017/gustavo-sudre-neural-computation.html Q&A: Alumnus Takes His Ph.D. Training in Neural Computation to the NIH - Dietrich College of... Gustavo Sudre uses a combination of machine learning techniques, genomics and neuroimaging to study brain systems. https://openreview.net/forum?id=Bmng0rDYklw Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs | OpenReview Gated neural ODEs effectively learn interpretable, low-dimensional manifold geometries to solve continuous memory tasks. https://www.zhaw.ch/en/topics/interdisciplinary-competence-centres/datalab/news/newsdetail/event-news/cai-research-accepted-for-publication-at-the-top-journals-jair-and-neural-computation CAI Research accepted for publication at the top journals JAIR and Neural Computation | ZHAW Zurich... The Centre for Artificial Intelligence (CAI) publishes innovative contributions ranging from fundamental neuro-inspired AI research to agentic systems for... https://www.caltech.edu/campus-life-events/calendar/computation-and-neural-systems-seminar-8 Computation and Neural Systems Seminar - www.caltech.edu Learning Hierarchies of Invariant Features computation neural systems seminar www https://arxiv.org/abs/2303.06516 [2303.06516] Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via... Abstract page for arXiv paper 2303.06516: Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation https://pillowlab.wordpress.com/ Pillow Lab Blog | Neural Coding and Computation Lab @ Princeton University Neural Coding and Computation Lab @ Princeton University pillow lab blog neural coding computation princeton university https://arxiv.org/abs/2510.23542 [2510.23542] Magnetic-field controlled organic spintronic memristor for neural network computation Abstract page for arXiv paper 2510.23542: Magnetic-field controlled organic spintronic memristor for neural network computation magnetic field https://openreview.net/forum?id=9tKC0YM8sX Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks | OpenReview Albeit the ubiquitous use of Graph Neural Networks (GNNs) in machine learning (ML) prediction tasks involving graph-structured data, their interpretability... graph neural networks