CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Nicole Charky-Chami is a senior editor based in Los Angeles, writing and producing breaking news. She teaches journalism courses for UCLA Extension and previously taught at Loyola Marymount University ...
1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...
A federal appeals court upheld the dismissal of President Donald Trump’s defamation lawsuit against CNN, specifically noting that the network’s use of the phrase “Big Lie” to describe Trump was not a ...
A federal appeals court on Tuesday refused President Trump’s attempt to revive his dismissed defamation lawsuit against CNN for describing his baseless claims of mass election fraud in 2020 as the ...
With CNN’s parent company, Warner Bros. Discovery, now up for sale, there’s uncertainty inside the network about whether a leadership change could upend the newsroom. That was the case in April 2022 ...
CNN is ushering in a new era today with the launch of its All Access subscription streaming tier. The streaming outlet is coming to market about three-and-a-half years after corporate parent Warner ...
Just days after David Zaslav took the reins of a newly merged Warner Bros. Discovery in April 2022, the chief executive shuttered CNN+, a $300 million streaming subscription service that barely got ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
The former CNN anchor initiated the proceedings after he was fired by the network for giving advice to his brother, who was accused of sexual harassment. By Winston Cho Chris Cuomo can’t revive his ...
Abstract: Gas detection is essential in industrial and domestic environments to ensure safety and prevent hazardous incidents. Traditional single-sensor time-series analysis often suffers from ...