The next wave of Arista's growth will be fueled by AI networking, where its high-performance gear excels, combined with a push into enterprise campus and WAN environments. When Arista Networks was ...

Coinbase said Monday that it is "exploring" a token launch for Base, its Ethereum layer-2 network, following years of saying that it wasn't actively considering the prospect. During a presentation at ...

President Donald Trump’s goal of a Golden Dome for America to protect against a broad range of threats to the homeland is likely to cost far more than originally advertised, with no architecture ...

Palo Alto Networks Inc.’s in-line outlook wasn’t enough for investors on Tuesday, as shares headed lower in the extended session following the cybersecurity company’s fiscal third-quarter results. The ...

Marvell Technology (NASDAQ:MRVL) shares surged Thursday as investors bet on the company to deliver strong second-quarter results, scheduled for after the closing bell. Optimism has been fueled by ...

Abstract: Efficient learning and model compression algorithm for deep neural network (DNN) is a key workhorse behind the rise of deep learning (DL). In this work, we propose a message passing-based ...

These days, career success isn’t just about what you know—it’s about who you know, and how you build those connections into a power network. Networking has moved beyond cocktail parties and business ...

Revenue from new Southwest Airlines checked bag fees has surpassed the company’s expectations, and the carrier says it has observed no “book-away” resulting from the change. “At this early stage, ...

In the original published article, there were typographical errors in mathematical formulas (Equations 58, 59, 73, and 74). The equations were derived and implemented correctly in the computer program ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability of decision ...