Graph of thoughts a new paradigm for elaborate problem solving in large language models – Artofit

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Graph of Thoughts: A New Paradigm for Elaborate Problem-Solving in Large Language Models

Discover how Graph of Thoughts aims to revolutionize prompt engineering, and LLMs more broadly, enabling more flexible and human-like problem-solving.
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Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition - Scientific Reports

AI - Techniques
China Stretches Another AI Framework To Exascale

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How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning

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Software Development
Apple Researchers Propose A Method For Reconstructing Training Data From Diverse Machine Learning Models By Ensemble Inversion

programação de computadores
Researchers From ETH Zurich and Max Plank Propose HOOD: A New Method that Leverages Graph Neural Networks, Multi-Level Message Passing, and Unsupervised Training to Enable Efficient Prediction of Realistic Clothing Dynamics

AI - Techniques
Segment Anything Model – Computer Vision Gets A Massive Boost

deeplearning
Development and use of machine learning algorithms in vaccine target selection - npj Vaccines

A.S.T.A.R Lab
Computer Scientists From Rice University Display CPU Algorithm That Trains Deep Neural Networks 15 Times Faster Than GPU

AI: DEEP LEARNING
In Latest Machine Learning Research, A Group at CMU Release a Simple and Efficient Implementation of Recurrent Model-Free Reinforcement Learning (RL) for Future Work to Use as a Baseline for POMDP Algorithms

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Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

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