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Categories: Biology: Developmental, Computer Science: General

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Scientists have developed a technique called 'Time-dependent Stochastic Parameter Shift' in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

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Researchers have developed an easy-to-use optical chip that can configure itself to achieve various functions. The positive real-valued matrix computation they have achieved gives the chip the potential to be used in applications requiring optical neural networks.

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Researchers have demonstrated a type of quantum eraser. The physicists show that they can pinpoint and correct for mistakes in quantum computing systems known as 'erasure' errors. 

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Artificial intelligence (AI) comes with promises of helping coders code faster, drivers drive safer, and making daily tasks less time-consuming. But a recent study demonstrates that the tool, when adopted widely, could have a large energy footprint, which in the future may exceed the power demands of some countries.

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A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.   

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Scientists testing a new method of sequencing single cells have unexpectedly changed our understanding of the rules of genetics. The genome of a protist has revealed a seemingly unique divergence in the DNA code signalling the end of a gene, suggesting the need for further research to better understand this group of diverse organisms.  

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Researchers have developed a new open-source computational method, dubbed Spectra, which improves the analysis of single-cell transcriptomic data. By guiding data analysis in a unique way, Spectra can offer new insights into the complex interplay between cells — like the interactions between cancer cells and immune cells, which are critical to improving immunotherapy treatments.

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Whether you’re battling foes in a virtual arena or collaborating with colleagues across the globe, lag-induced disruptions can be a major hindrance to seamless communication and immersive experiences. That’s why researchers have developed new technology to make data transfer over optical fiber communication faster and more efficient.

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Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.

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Scientists have created a new zebrafish xenograft platform to screen for novel treatments for an aggressive brain tumor called glioblastoma, according to a new study.

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For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality and size of individual crops. Finding the optimal time to harvest is therefore a priority for farmers. A new approach making heavy use of drones and artificial intelligence demonstrably improves this estimation by carefully and accurately analyzing individual crops to assess their likely growth characteristics.

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Researchers have produced an engineered tissue representing a simplified cerebral cortex by 3D printing human stem cells. When implanted into mouse brain slices, the structures became integrated with the host tissue. The technique may ultimately be developed into tailored repairs to treat brain injuries.

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Researchers developed the first AI to date that can intelligently design robots from scratch by compressing billions of years of evolution into mere seconds. It's not only fast but also runs on a lightweight computer and designs wholly novel structures from scratch — without human-labeled, bias-filled datasets.

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Researchers have found that a genetic change that increases the risk of inflammation, through a process described as ‘explosive’ cell death, is carried by up to 3% of the global population.

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Scientists reveal new plant cell walls can have significantly different mechanical properties compared to surrounding parental cell walls, enabling cells to change their local shape and influence the growth of plant organs.

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Researchers have identified a new enzyme called PUCH, which plays a key role in preventing the spread of parasitic DNA in our genomes. These findings may reveal new insights into how our bodies detect and fight bacteria and viruses to prevent infections.

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At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it for nonlinear analysis of extreme events in wall-bounded turbulent flows, which are pervasive in numerous physics and engineering applications and impact wind and hydrokinetic energy, among others. Results show the technique employed can be invaluable for accurately identifying the sources of extreme events in a completely data-driven manner.

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Researchers identified and characterized a new cellular compartment in vertebrate cells that might be a precursor of today's eucaryotic nucleus. The study reveals that mammalian cells recognize, cluster, sort and keep extrachromosomal DNA -- like transfected plasmid DNA and endogenous circular DNAs originating from telomeres of the chromosome -- away from chromosomal DNA. That suggests that there is a cell autonomous genome defense system.

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A new machine-learning approach helps scientists more efficiently identify the optimal intervention to achieve a certain outcome in a complex system, such as genome regulation, requiring far fewer experimental trials than other methods. 

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By genetically testing nearly one thousand embryos, scientists have provided the most detailed analysis of embryo fate following human in vitro fertilization.