Machine learning & AI
The human brain continuously changes over time, forming new synaptic connections based on experiences and information learned over a lifetime. Over the past few years, artificial Intelligence (AI) researchers have been trying ...
Hi Tech & Innovation
Modern computer models—for example for complex, potent AI applications—push traditional digital computer processes to their limits. New types of computing architecture, which emulate the working principles of biological ...
Oct 23, 2023
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169
Machine learning & AI
Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.
Sep 1, 2023
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107
Computer Sciences
Uncovering the mechanisms of learning via synaptic plasticity is a critical step towards understanding how our brains function and building truly intelligent, adaptive machines. Researchers from the University of Bern propose ...
Nov 11, 2021
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165
Machine learning & AI
Inspired by the functioning of the human brain and based on a biological mechanism called neuromodulation, it allows intelligent agents to adapt to unknown situations
Jan 28, 2020
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843
Computer Sciences
The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing ...
Apr 8, 2024
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46
Computer Sciences
The quest for more efficient and versatile computing methods has given rise to innovative solutions, moving beyond traditional digital architectures. The limitations of the von Neumann architecture, which separates memory ...
Dec 13, 2023
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10
Machine learning & AI
Many computational properties are maximized when the dynamics of a network are at a 'critical point," a state where systems can quickly change their overall characteristics in fundamental ways, transitioning e.g. between ...
Jul 22, 2020
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