Jan 27 (Reuters) - Private equity firm Audax Group is exploring a sale of cybersecurity provider BlueCat Networks, which could fetch more than $1.5 billion, according to people familiar with the ...
A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Palo Alto Networks patched a high-severity vulnerability that could allow unauthenticated attackers to disable firewall protections in denial-of-service (DoS) attacks. Tracked as CVE-2026-0227, this ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers at Arizona State University. “Neural networks have become a dominant ...
President Donald Trump has threatened to terminate the broadcast licenses of major networks that cover him and his political allies unfavorably. "If Network NEWSCASTS, and their Late Night Shows, are ...
SAN FRANCISCO, Dec 19 (Reuters) - Alphabet's (GOOGL.O), opens new tab cloud computing unit and cybersecurity company Palo Alto Networks (PANW.O), opens new tab on Friday announced an expanded ...
Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
Abstract: In recent years, graph convolutional networks (GCNs) have been introduced for hyperspectral image (HSI) classification due to their ability to effectively process the inherent graph ...
Palo Alto Networks is acquiring Israeli identity security provider CyberArk in a deal valued at roughly $25 billion. CyberArk shareholders, for each of their shares, will get $45 cash and 2.2005 ...
Abstract: In this paper, to explore the application of depression EEG data in semi-supervised classification, we designed an improved semi-supervised graph convolutional neural network model for ...
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