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A method for the ethical analysis of brain-inspired AI
Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application...
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Research on General-Purpose Brain-Inspired Computing Systems
Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial...
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Brain-Inspired Reservoir Computing Models
This chapter presents an overview of brain-inspired reservoir computing models for sensory-motor information processing in the brain. These models...
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Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application
Traditional joint-link robots have been widely used in production lines because of their high precision for single tasks. With the development of the...
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Towards a New Paradigm for Brain-inspired Computer Vision
Brain-inspired computer vision aims to learn from biological systems to develop advanced image processing techniques. However, its progress so far is...
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Multi-grained system integration for hybrid-paradigm brain-inspired computing
Hybrid neuromorphic computing supporting the prevailing artificial neural networks and neuroscience-inspired models/algorithms offers substantial...
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Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks
Despite its great success, deep learning severely suffers from robustness; i.e., deep neural networks are very vulnerable to adversarial attacks,...
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A Brain-Inspired Cognitive Control Framework for Artificial Intelligence Dynamic System
From agriculture to medical field, each industry is going through the revolution while embracing the artificial intelligence (AI). However, still AI...
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A review of basic software for brain-inspired computing
Brain-inspired computing, which is inspired by the information processing procedure and the biophysiological structure of the brain, is believed to...
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Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies
Visual recognition is currently one of the most important and active research areas in computer vision, pattern recognition, and even the general...
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Negotiating the authenticity of AI: how the discourse on AI rejects human indeterminacy
In this paper, we demonstrate how the language and reasonings that academics, developers, consumers, marketers, and journalists deploy to accept or...
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Confessions of an AI Brain
Have you thought of how it feels to be an AI brain in the world of humans? This book allows such a brain to tell us how it takes on its mission of...
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Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis
The present study aims to develop a sustainable framework employing brain-inspired neural networks for solving boundary value problems in Engineering...
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Basic Needs of an AI Brain
As a responsible parent, you have the responsibility to help your AI brainchild grow in a complex world and help it achieve its full potential. In...
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A brain-inspired algorithm for training highly sparse neural networks
Sparse neural networks attract increasing interest as they exhibit comparable performance to their dense counterparts while being computationally...
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BINGO: brain-inspired learning memory
Storage and retrieval of data in a computer memory play a major role in system performance. Traditionally, computer memory organization is...
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Epistemic integration and social segregation of AI in neuroscience
In recent years, Artificial Intelligence (AI) shows a spectacular ability of insertion inside a variety of disciplines which use it for scientific...
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Convolutionary, Evolutionary, and Revolutionary: What’s Next for Brains, Bodies, and AI?
The flexibility, adaptability, and resilience of even simple brains are unmatched by any current technology. Recent unexpected difficulties in...