Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation. machine-learning news university machine-learning-algorithms ...

They look deceptively real, but they are made by computers: so-called deep-fake images are generated by machine learning algorithms, and humans are pretty much unable to distinguish them from real ...

The proposed machine learning framework, a division of artificial intelligence (AI), aims to utilize data and algorithms to identify signs of misinformation and enhance the detection process.

A proposed machine learning framework and expanded use of blockchain technology could help counter the spread of fake news by allowing content creators to focus on areas where the misinformation ...

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...

We built our work around the state-of-the-art Xception detection algorithm, which is a widely used foundation for deepfake detection systems and can detect deepfakes with an accuracy of 91.5%.

People are inundated with info every single day.Each minute, there are 98,000 tweets, 160 million emails sent, and 600 videos uploaded to YouTube. Politicians. Marketers. News outlets.

The images that Spore.Bio produces are being read beyond what the naked eye can see. “We have machine learning models that will recognize the spectral nature of the bacteria in this snapshot.

In order to turn a low-resolution image into a high-resolution one, the software has to fill in the blanks using machine learning. In the case of PULSE, the algorithm doing this work is StyleGAN ...

His research on effect-oriented fake news detection using Machine Learning was one among the AWSAR-2019 award winners for the best popular science stories, instituted by the Department of Science ...