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Categories: Mathematics: Statistics, Offbeat: Computers and Math

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Brain-computer interface companies like Neuralink are in the news a lot these days for their potential to revolutionize how humans interact with machines, but electrodes are not the most brain-friendly materials -- they're hard and stiff, while brains are soft and squishy, which limits their efficacy and increases the risk of damaging brain tissue.  A new hydrogel-based electrode developed at the Wyss Institute solves that problem by providing a tunable, conductive scaffold that human neurons and other cell types feel right at home in. Not only does the scaffold mimic the soft, porous conditions of brain tissue, it supported the growth and differentiation of human neural progenitor cells (NPCs) into multiple different brain cell types for up to 12 weeks. The achievement is reported in Advanced Healthcare Materials. Not only can the new electrode be used to study the formation of human neural networks in vitro, it could enable the creation of implantable devices that more seamlessly integrate with a patient's brain tissue, improving performance and decreasing risk of injury.

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While you may be just starting to reap the advantages of 5G wireless technology, researchers throughout the world are already working hard on the future: 6G. One of the most promising breakthroughs in 6G telecommunications is the possibility of Visible Light Communication (VLC), which is like a wireless version of fiberoptics, using flashes of light to transmit information. Now, a team has announced that they have invented a low-cost, innovative way to harvest the waste energy from VLC by using the human body as an antenna. This waste energy can be recycled to power an array of wearable devices, or even, perhaps, larger electronics.

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Creating smart sensors to embed in our everyday objects and environments for the Internet of Things (IoT) would vastly improve daily life -- but requires trillions of such small devices. A professor believes that emerging alternative semiconductors that are printable, low-cost and eco-friendly could lead the way to a cheaper and more sustainable IoT.

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A team of engineers and neuroscientists has demonstrated for the first time that human brain organoids implanted in mice have established functional connectivity to the animals' cortex and responded to external sensory stimuli. The implanted organoids reacted to visual stimuli in the same way as surrounding tissues, an observation that researchers were able to make in real time over several months thanks to an innovative experimental setup that combines transparent graphene microelectrode arrays and two-photon imaging.

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A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.

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Marvel at the tiny nanoscale structures emerging from labs, and it's easy to imagine you're browsing a catalog of the world's smallest pottery: itty-bitty vases, bowls, and spheres. But instead of making them from clay, the researchers designed these objects out of threadlike molecules of DNA, bent and folded into complex three-dimensional objects. These creations demonstrate the possibilities of a new open-source software program.

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Researchers have developed a strategy for creating ultrahigh-resolution, complex 3D nanostructures out of various materials.

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An international team of researchers has recently demonstrated for the first time the use of a new lensless ultrafast X-Ray method to image phase transitions. This new method enables the direct observation of the dynamics of quantum materials at the nanoscale.

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A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.

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A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues.

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America was unprepared for the magnitude of the pandemic, which overwhelmed many counties and filled some hospitals to capacity. A new study suggests there may have been a mathematical method, of sorts, to the madness of those early COVID days.

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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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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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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 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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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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Fine-tuning the thermal conductivity of amorphous silicon used in technologies such as solar cells and image sensors should become much easier thanks to the computational topology and machine-learning-assisted discovery of the relationship between nano-scale structures and physical properties.

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A quantum system with only 51 charged atoms can take on more than two quadrillion different states. Calculating the system's behavior is child's play for a quantum simulator. But verifying the result is almost impossible, even with today's supercomputers. A research team has now shown how these systems can be verified using equations formulated in the 18th century.

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The famous double slit experiment shows that particles can travel on two paths at the same time -- but only by looking at a lot of particles and analysing the results statistically. Now a two-path-interference experiment has been designed that only has to measure one specific particle to prove that it travelled on two paths.