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OALib Journal期刊
ISSN: 2333-9721
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ISSN Print: 2522-5839

ISSN Online:

主页: https://www.nature.com/natmachintell

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Designing neural networks through neuroevolution

Reinforcement learning in artificial and biological systems

Evolving embodied intelligence from materials to machines

Differential game theory for versatile physical human–robot interaction

Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins

Distributed sensing for fluid disturbance compensation and motion control of intelligent robots

Clustering single-cell RNA-seq data with a model-based deep learning approach

Lessons for artificial intelligence from the study of natural stupidity

Autonomous functional movements in a tendon-driven limb via limited experience

Feedback GAN for DNA optimizes protein functions

Long short-term memory networks in memristor crossbar arrays

Training deep neural networks for binary communication with the Whetstone method

Deep-learning cardiac motion analysis for human survival prediction

Evaluation of deep learning in non-coding RNA classification

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Reconstructing quantum states with generative models

The evolution of citation graphs in artificial intelligence research

An integrated iterative annotation technique for easing neural network training in medical image analysis

Hopes and fears for intelligent machines in fiction and reality

Context-specific interaction networks from vector representation of words

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