Detection of fake news is crucial to ensure the authenticity of information and maintain the news ecosystems reliability. Recently, there has been an increase in fake news content due to the recent proliferation of social media and fake content generation techniques such as Deep Fake. The majority of the existing modalities of fake news detection focus on content based approaches. However, most of these techniques fail to deal with ultra realistic synthesized media produced by generative models. Our recent studies find that the propagation characteristics of authentic and fake news are distinguishable, irrespective of their modalities. In this regard, we have investigated the auxiliary information based on social context to detect fake news. This paper has analyzed the social context of fake news detection with a hybrid graph neural network based approach. This hybrid model is based on integrating a graph neural network on the propagation of news and bi directional encoder representations from the transformers model on news content to learn the text features. Thus this proposed approach learns the content as well as the context features and hence able to outperform the baseline models with an f1 score of 0.91 on PolitiFact and 0.93 on the Gossipcop dataset, respectively

As the field of machine learning has grown, artificial neural networks have grown along with it.

Rollerdrome is essentially the video game version of Rollerball, the fabulous 1975 sci-fi film starring James Caan. In Rollerball, monolithic corporations control society and the least powerful citizens are compelled to compete in lethal roller-skating competitions, in the name of entertainment and classism. The movie is a slow burn of brutality, odd human rituals and shirts with huge collars, and it's a brilliant time capsule whose themes remain relevant today. Rollerdrome builds a similarly rich, unsettling world through set pieces, costuming and audio cues, pulling a 1970s aesthetic firmly into the 21st century in the process. It takes place in 2030, in a world controlled by massive companies -- the Matterhorn corporation is at the center of a new bloodsport called rollerdrome, where participants are challenged to shoot their way through enemies while completing ridiculous roller-skating tricks.

Nobody would have imagined a few years ago that machines will soon be able to act, behave, and perform activities much like people? But today, artificial intelligence can be found in practically every sector of the economy. It appears that the industry can no longer function profitably without implementing AI. AI also affects our daily lives on a far larger scale than merely the industrial one. Almost all mobile applications on our smartphones use artificial intelligence to provide outstanding user experiences.

PRNewswire/ -- Artificial intelligence could contribute close to USD 16 trillion to the global economy in 2030.

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Detroit, Michigan, July 25, 2022 (GLOBE NEWSWIRE) -- Artificial Intelligence Technology Solutions, Inc., ( OTCPK:AITX ), today announced that its …

Top Artificial Intelligence (AI) and Machine Learning (ML) Blogs/ Websites to Follow in 2022.

By focusing on Artificial Intelligence as applied to commodity trading, Dr. Schindler continues his pioneering work in Transformation LLC (https:// …