Abstract: Recently, many deep neural network-based methods have been proposed for polyp segmentation. Nevertheless, most methods primarily analyze spatial information and usually fail to accurately ...

Automotive revenue gets most of the attention at Tesla, but the company is seeing fast growth in its services and other revenue segment, which includes services centers and superchargers. That unit ...

Network segmentation is a security approach that divides the industrial network into smaller, solitary zones. Each acts as its own, distinct subnetwork, which limits access to devices or data and ...

Credit: Molly McMillin OSHKOSH—On the second day of the EAA AirVenture airshow, U.S. Secretary of Transportation Sean Duffy announced that a rule regarding MOSAIC (Modernization of Special ...

The far-right One America News Network aired a segment Wednesday on last week’s killing of Palestinian-American Saif Musallet by Israeli settlers in the West Bank, showing a sign of a change in ...

Abstract: Superpixel segmentation aims to automatically group visually similar pixels within an image into compact regions. This approach provides an efficient low-level representation of image data, ...

Let’s start with a simple truth: Most organizations don’t need more cybersecurity tools. The reality is that businesses require better boundaries in 2025 to restrict access to critical sensitive ...

For all the advances of AI that machine learning brings to productivity and decision-making, it has a major downside: cybersecurity risks. Businesses often underestimate the security risks of adopting ...

I noticed in your Tutorial: Class Activation Maps for Semantic Segmentation you mask the output of the network using the target class mask - this results in visualizing the contribution to the correct ...

ORLANDO, Fla.--(BUSINESS WIRE)--Zero Networks, a leader in zero trust security solutions, is proud to share significant company growth achieved in 2024 including 3x revenue growth and doubling ...