Protected: Spiking Neural Networks (SNNs) in Computational Neuroscience Course
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Student & Researcher | ML DL AI NS
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Neuromorphic computing involves designing hardware architectures that mimic the structure and functionality of biological neural networks. Here’s a general overview of how neural networks can be mapped to neuromorphic hardware:…
Biological tissue-artificial hybrid devices, also known as biohybrid systems, represent a fascinating intersection of biological and artificial components. These devices combine living biological tissues or cells with synthetic or electronic…
Computer vision, like many fields in technology, is constantly evolving, and there are several open problems that researchers are actively working on. Here are some of the current open problems…
ImageNet Classification with Deep Convolutional Neural Networks Summary: The landmark paper “ImageNet Classification with Deep Convolutional Neural Networks” by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton (2012) marked a significant…
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Face recognition, also known as facial recognition, is a technology that involves the identification and verification of individuals based on their unique facial features. It has gained significant attention in…
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Here are 50 sensors that can be found in everyday devices:
IntroductionDeception is the act of intentionally misleading or withholding information from others. It is a complex and often difficult behavior to detect, but researchers in a variety of fields have…