App Concept Could Track Coronavirus Without Needing to Know Your LocationNews
A team of medical researchers and bioethicists at Oxford University has published results today in Science that furthers our understanding of coronavirus transmission. The researcher could assist the development of mobile apps for instant contact tracing in record time.READ MORE
Why do some people feel like they need three cups of coffee just to get through the day when others are happy with only one? Why do some people abstain entirely? New research suggests that our intake of coffee - the most popular beverage in America, above bottled water, sodas, tea, and beer - is affected by a positive feedback loop between genetics and the environment.READ MORE
An ultra-fast image sensor with a built-in neural network has been developed at TU Wien (Vienna). It can be trained to recognize certain objects. It has now been presented in "Nature".
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.READ MORE
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).