Work
ColorUNet: A new deep CNN classification approach to colorization
A team of researchers at Stanford University has recently developed a CNN classification method to colorize grayscale images. The tool they devised, called ColorUNet, draws inspiration from U-Net, a...
AI systems shed light on root cause of religious conflict
Artificial intelligence can help us to better understand the causes of religious violence and to potentially control it, according to a new Oxford University collaboration. The study is one of the...
An integrated visual and semantic neural network model explains human object recognition in the brain
Neuroscience researchers at the University of Cambridge have combined computer vision with semantics, developing a new model that could help to better understand how objects are processed in the...
Using machine learning to detect software vulnerabilities
A team of researchers from R&D company Draper and Boston University developed a new large-scale vulnerability detection system using machine learning algorithms, which could help to discover...
A new molecular programming language: CRN++
Synthetic biology is a relatively new area of research that could significantly impact a number of fields, including biology, nanofabrication and medicine. A primary challenge in this emerging field...
DeepMind researchers develop neural arithmetic logic units (NALU)
The ability to represent and manipulate numerical quantities can be observed in many species, including insects, mammals and humans. This suggests that basic quantitative reasoning is an important...
Defense against adversarial attacks using machine learning and cryptography
Researchers at the University of Geneva have recently developed a new defense mechanism that works by bridging machine learning with cryptography. The new system, outlined in a paper pre-published...
Droidbugs: A new benchmark to evaluate automated repair methods for Android apps
Automated program repair (APR) is an emerging field of research that sets out to develop methods of fixing software bugs automatically, without intervention by human programmers. After development,...
Emotion recognition based on paralinguistic information
Researchers at the University of Texas at Arlington have recently explored the use of machine learning for emotion recognition based solely on paralinguistic information. Paralinguistics are aspects...
End-to-end learning of co-speech gesture generation for humanoid robots
Researchers at the Electronics and Telecommunications Research Institute (ETRI) in South Korea have recently developed a neural network model that can generate sequences of co-speech gestures. Their...