Researchers at the AI Lab of Tsinghua University have recently developed an incremental encoder-based model that can generate story endings. An incremental encoder is a type of encoding compression algorithm that is often used to compress sorted data, such as lists of...
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A new machine learning strategy that could enhance computer vision
Researchers from the Universitat Autonoma de Barcelona, Carnegie Mellon University and International Institute of Information Technology, Hyderabad, India, have developed a technique that could allow deep learning algorithms to learn the visual features of images in a...
Researchers use machine learning to analyse movie preferences
Could behavioural economics and machine learning help to better understand consumers' movie preferences? A team of researchers from the University of Cambridge, the University of West England, and the Alan Turing Institute dove deeper into this question, in a...
Improbotics: Bringing machine intelligence into improvised theatre
An unconventional company called HumanMachine has recently devised a unique theatre production called Improbotics, which involves both human performers and machines. This is the latest of a series of projects and initiatives that merge the world of theatre with...
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 first to be published that uses psychologically realistic AI—as opposed...
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 brain.
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 software vulnerabilities faster and more efficiently.
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 is that of embedding computation in molecular contexts, in situations...
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 component of intelligence, which has several evolutionary advantages.
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 on arXiv, is based on Kerckhoffs' second cryptographic principle, which...









