Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation. Official repository for "FakeSV: A Multimodal Benchmark with Rich ...

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 ...

Researchers proposed solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

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 ...

New research found a way to both improve the accuracy of deepfake detection algorithms while also enhancing fairness.

As with so many of our modern problems, artificial intelligence is now on the job helping to fight false news. Logically is one company that uses artificial intelligence to provide fact-checking ...

A new startup has plans to use deep-learning algorithms to speed up this process. Spore.Bio is a French startup that has developed a new pathogen-detection methodology.

What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias A striking image that only hints at a much bigger problem ...

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 ...