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Categories: Computer Science: Virtual Reality (VR), Mathematics: Statistics

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People often wonder why one nutritional study tells them that eating too many eggs, for instance, will lead to heart disease and another tells them the opposite. The answer to this and other conflicting food studies may lie in the use of statistics, according to a new report.

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An odor machine, so-called olfactometer, makes it possible to smell in VR environments. First up is a 'wine tasting game' where the user smells wine in a virtual wine cellar and gets points if the guess on aromas in each wine is correct. The new technology can be printed on 3D printers.

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After a decade of work, scientists have developed a suite of video game interventions that improve key aspects of cognition in aging adults.

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Researchers followed the birth and death of tens of thousands of nematode worms using the 'Lifespan Machine', which collects lifespan data at unprecedented statistical resolution. They found that worms have at least two distinct 'biological ages', and that these have consistent correlations between each other, suggesting the existence of an invisible hierarchical structure that regulates the ageing process. The findings challenge the idea of living organisms having a single, universal biological age. It also means mean that biomarkers used to assess biological age can be changed by interventions such as diet, exercise, or drug treatments without actually turning a 'fast ager' into a 'slow ager'. The study calls into question the use of ageing biomarkers -- what exactly are they measuring?

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Depending on the initial conditions used, such as nutrient levels and space constraints, bacteria tend to grow in specific ways. Researchers have created a new type of encryption scheme based on how a virtual bacterial colony grows with specific initial conditions.

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Robotic eyes on autonomous vehicles could improve pedestrian safety, according to a new study. Participants played out scenarios in virtual reality (VR) and had to decide whether to cross a road in front of a moving vehicle or not. When that vehicle was fitted with robotic eyes, which either looked at the pedestrian (registering their presence) or away (not registering them), the participants were able to make safer or more efficient choices.

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The contact.engineering platform enables users to create a digital twin of a surface and thus to help predict, for example, how quickly it wears out, how well it conducts heat, or how well it adheres to other materials.

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A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.

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A commentary advocates the proper application of artificial intelligence in healthcare and warns of the dangers when machine learning algorithms are misused.

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Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to improvements in computer performance and its potential applications in artificial intelligence. However, this statistical approach requires complex calculations of integrals, which are often considered approximations only. In their new study, the research team successfully derived new exact integral formulas. Their findings contribute to improving the accuracy of methods to identify data symmetries, possibly extending their applications to wider areas of interest, such as genetic analysis.

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Engineers find a way to identify nanophotonic materials with the potential to improve screens for virtual reality and 3D displays along with optical technologies in general.

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To automatically generate data for training deep convolutional neural network models to segment building facades, researchers used a three-dimensional model and game engine to generate digital city twin synthetic training data. They found that a model trained on these data mixed with some real data was competitive with a model trained on real data alone, revealing the potential of digital twin data to improve accuracy and replace costly manually annotated real data.

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Researchers have developed a new chip-based beam steering technology that provides a promising route to small, cost-effective and high-performance lidar systems. Lidar, which uses laser pulses to acquire 3D information about a scene or object, is used in a wide range of applications such as autonomous driving, free-space optical communications, 3D holography, biomedical sensing and virtual reality. Researchers describe their new chip-based optical phased array (OPA) that solves many of the problems that have plagued previous OPA designs.

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Augmented reality might allow printed books to make a comeback against the e-book trend, according to researchers.

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A new technique opens a door to manufacturing of pressure-monitoring bandages, shade-shifting fabrics, or touch-sensing robots

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Artificial vision systems are implemented in motion sensing, object detection, and self-driving vehicles. However, they are not suitable for changing external environments and are limited to a hemispherical field-of-view (FOV). Addressing this issue, researchers have now developed a novel artificial vision with 360-degree FOV that can image both terrestrial and aquatic environments. The system, modeled after the eye structure of the fiddler crab, could help realize the all-weather vision and panoramic object detection.

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A groundbreaking Bayesian method and new statistical analyses of genomic data from geckos in the Philippines shows that during the ice ages, the timing of gecko diversification gives strong statistical support for the first time to the Pleistocene aggregate island complex (PAIC) model of diversification, or 'species pump.'

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Like a newborn animal, a four-legged robot stumbles around during its first walking attempts. But while a foal or a giraffe needs much longer to master walking, the robot learns to move forward fluently in just one hour. A computer program acts as the artificial presentation of the animal's spinal cord, and learns to optimize the robot's movement in a short time. The artificial neural network is not yet ideally adjusted at the beginning, but rapidly self-adjusts.

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The trial studied phobia patients using a headset and a smartphone app treatment programme -- a combination of Virtual Reality (VR) 360-degree video exposure therapy and cognitive behavioural therapy (CBT).

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By increasing sensory input and promoting multisensory processing, virtual reality may increase the effectiveness of traditional cognitive rehabilitation and exercise training in individuals with MS, according to researchers.