Weeding out Fake News


New research reveals biases in fake news datasets and improves the use of automatic detectors. MIT Newshttp://news.mit.edu/2019/better-fact-checking-fake-news-1017 To prove this, the researchers developed attacks that they showed could fool state-of-the-art fake-news detectors. Since the detector thinks that the human-written text is real, the attacker cleverly (and automatically) impersonates such text. In addition, because the detector thinks the machine-generated text is fake, it might be forced to also falsely condemn…

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Deep Learning to Understand the 3D world

Making sense of raw point-cloud data is difficult, and before the age of machine learning it traditionally required highly trained engineers to tediously specify which qualities they wanted to capture by hand. But in a new series of papers out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), researchers show that they can use deep learning to automatically process point clouds for a wide range of 3D-imaging applications. MIT Newshttp://news.mit.edu/2019/deep-learning-point-clouds-1021

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Helping autonomous vehicles see around corners

http://news.mit.edu/2019/helping-autonomous-vehicles-see-around-corners-1028 In a paper being presented at next week’s International Conference on Intelligent Robots and Systems (IROS), the researchers describe successful experiments with an autonomous car driving around a parking garage and an autonomous wheelchair navigating hallways. When sensing and stopping for an approaching vehicle, the car-based system beats traditional LiDAR — which can only detect visible objects — by more than half a second. “MIT researchers have developed…

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