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When we open our eyes, we immediately see our surroundings in great detail. How the brain is able to form these richly detailed representations of the world so quickly is one of the biggest unsolved puzzles in the study of vision. Now, a computer model that captures the human visual system's ability to quickly generate a detailed scene description from an image has been developed.

Complex networks are ubiquitous in the real world, from artificial to purely natural ones, and they exhibit very similar geometric properties. Algorithms based on quantum mechanics perform well on such networks, but their relationship with the geometrical characteristics of networks has remained unclear until now. Researchers have now shed light on these relationships, opening up new possibilities for the use of complex networks in various fields.

Magnetic skyrmions and antiskyrmions are microscopically small whirls that are found in special classes of magnetic materials. A new study has shown that these nano-objects could play an important role in storage devices.

Ever wish your computer could think like you do or perhaps even understand you?
That future may not be now, but it's one step closer, thanks to the recent discovery of a materials-based mimic for the neural signals responsible for transmitting information within the human brain.

Artificial intelligence has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine.

Researchers at the National Institutes of Health and the University of Wisconsin have demonstrated that using artificial intelligence to analyze CT scans can produce more accurate risk assessment for major cardiovascular events than current, standard methods such as the Framingham risk score (FRS) and body-mass index (BMI).

According to popular theory, men live shorter lives than women because they take bigger risks, have more dangerous jobs, drink and smoke more, and are poor at seeking advice from doctors. But research by scientists at UNSW Sydney suggests the real reason may be less related to human behaviour and more to do with the type of sex chromosomes we share with most animal species.

The paper has been published in the journal Annual Review of Linguistics

In a lecture held at the Singapore Management University (SMU), Leslie Lamport, winner of the 2013 Turing Award, argued that thinking mathematically can be a useful step to specifying the algorithm for computer programmes, as it can help programmers clarify their thinking and make programs more efficient.

If the world is using more and more data, then it must be using more and more energy, right? Not so, says a comprehensive new analysis.