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Virtual Reality Device Simulates Sight Loss
A new study has demonstrated how commercially available head mounted displays (HMD) could be used to simulate the day-to-day challenges faced by people with glaucoma.
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Machine Learning Helps Predict Circulatory Failure
Researchers at ETH Zurich and Bern University Hospital have developed a method for predicting circulatory failure in patients in intensive care units – enabling clinicians to intervene at an early stage. Their approach uses machine learning methods to evaluate an extensive body of patient data.
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Flexible "Brain" for AI Cuts Energy Use by 80%
Scientists at Osaka University built a new computing device from field-programmable gate arrays (FPGA) that can be customized by the user for maximum efficiency in artificial intelligence applications.
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How Can We Bond With Robots?
Using robots that expressed vulnerability, researchers have shown that robots can affect human-to-human interactions, such as communicating effectively as a team.
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The Biology Behind Your Love (or Hatred) of Coffee
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.
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Neural Network Image Sensor Recognizes Images Faster
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".
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A New Model of Vision Explains How the Brain Processes Faces
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.
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Quantum Approach Could Lead to Faster Algorithms
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.
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Nano-sized Magnetic Whirls Could Be Important in Future Data Storage Devices
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.
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Chameleon-like Material Could Enable Brain-like Computing
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.
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.
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