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...
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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...
A new roving biologger that travels along a sperm whale’s body surface
A team of researchers at Yamagata University and Teikyo University of Science, in Japan, have recently developed a new roving biologger, or whale rover, which can travel along a sperm whale's body surface and collect valuable behavioral data. Biologging entails the...
A new triboelectric auditory sensor for social robotics and hearing aids
Researchers from Chongqing University, in China, have recently developed a self-powered triboelectric auditory sensor (TAS) that could be used to build electronic auditory systems for external hearing aids in intelligent robotics applications. Their recent study,...
An evaluation of machine learning to identify bacteraemia in SIRS patients
A team of researchers at the Medical University of Vienna has recently evaluated the effectiveness of machine learning strategies to identify bacteraemia in patients affected by systemic inflammatory response syndrome (SIRS). Their study, published in Scientific...
A principle-based paradigm to foster ethical behavior in autonomous machines
A team of researchers at the University of Hartford, the University of Connecticut, and the Max Planck Institute for Intelligent Systems have recently proposed a case-supported, principle-based behavior paradigm toward ensuring the ethical behavior of autonomous...
A new approximate computing approach using CNNs
Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a prototype system for image processing that...
A ToM-based human intention estimation algorithm for robotized warehouses
The rapid growth of logistics businesses has generated a need for more evolved and efficient warehouse systems. Advances in robotics could help to meet these needs by automating tasks that are currently completed by humans, significantly speeding up the workflow.









