IEEE

An Efficient FPGA Implementation of Spiking Neural Networks for N-MNIST Classification

Spiking Neural Networks (SNNs) have emerged as a promising alternative to conventional Artificial Neural Networks (ANNs) due to their event-driven computation and potential for low-power processing.
IEEE

Class-Aware Consistency Learning for Open-Set Semi-Supervised Hyperspectral Image Classification

Abstract: Semi-supervised hyperspectral image (HSI) classification methods focus on exploring the spectral and spatial information of unlabeled samples. However, existing methods generally follow the ...
news.bloomberglaw

CNN Files Latest News Copyright Suit Against Perplexity AI (1)

copyright infringement large language models visual art copyrights audiovisual work copyrights Cable News Network Inc. hit Perplexity AI Inc. with a lawsuit alleging the artificial intelligence ...
CNN

CNN sues Perplexity over alleged AI copyright theft

CNN is suing Perplexity, accusing the AI company of unlawfully copying and distributing CNN’s content. Thursday’s lawsuit joins a long list of legal actions by publishers like The New York Times ...
Yahoo

CNN Data Guru Insists Spencer Pratt Can Win LA Mayor’s Race: His Odds are ‘Up Like a Rocket!’

Add Yahoo as a preferred source to see more of our stories on Google. Former reality TV star Spencer Pratt’s (R) long-shot bid for Los Angeles mayor may not be much of a long shot anymore — and CNN ...
SpaceNews

SpaceX wins $2.29 billion Space Force contract for military data network

WASHINGTON — The U.S. Space Force awarded SpaceX a $2.29 billion contract to build a network of low Earth orbit satellites intended to function as a military internet in space. According to a news ...
GitHub

End-to-End Neural Network Implementation in Python

A completely connected neural network built using only NumPy and trained on the Fashion MNIST dataset. Every forward/backward pass, gradient, and weight update is done by hand without external ...