The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.

ABSTRACT: In energy critical systems, accurate modeling of fluid dynamics is essential for designing controllers that enhance operational performance and reduce energy consumption. This study presents ...

Gated Recurrent Unit (GRU) is a type of Recurrent Neural Network (RNN) which performs better than Simple RNN while dealing with longer input data. Gated Recurrent Unit (GRU) is an advance RNN which ...

This repository contains the official implementation for the paper "Evolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks." The code implements a framework for evolving ...

Abstract: This paper presents the implementation of a system for automatic recognition of traffic signs using convolutional neural networks (CNN). The solution is based on the ResNet architecture with ...

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This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.

Abstract: This paper presents implementation of a system for summarizing news using a neural network algorithm. Relevance of the development of this system is due to the need for users to receive news ...