Machine Learning & AI

Researchers develop a machine learning method to identify fake honey

A team of researchers at Imperial College London and UCL have recently developed a new method to authenticate honey using machine learning and microscopy. Their technique, outlined in a paper pre-published on arXiv, could ...

Automotive

Identifying artificial intelligence 'blind spots'

A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could ...

Computer Sciences

DeepCrack: a new hierarchical CNN-based method for crack segmentation

Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, ...

Engineering

A new smartphone user authentication system based on gait analysis

A team of researchers at the University of Pretoria and City University of Hong Kong has recently developed a continuous smartphone user authentication system based on gait analysis. This system, outlined in a paper presented ...

Machine Learning & AI

OpenAI's GPT-2 algorithm is good in knitting fake news

Fake. Dangerous. Scary. Too good. When headlines swim with verdicts like those then you suspect, correctly, that you're in the land of artificial intelligence, where someone has come up with yet another AI model.

Computer Sciences

Putting neural networks under the microscope

Researchers from MIT and the Qatar Computing Research Institute (QCRI) are putting the machine-learning systems known as neural networks under the microscope.

Computer Sciences

An AI that 'de-biases' algorithms

We've learned in recent years that AI systems can be unfair, which is dangerous, as they're increasingly being used to do everything from predicting crime to determining what news we consume. Last year's study showing the ...

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