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A new analysis of Mars’ gravitational field has revealed hidden structures buried beneath the remains of an ancient ocean.

The work, which was presented this week at the Europlanetary Science Congress in Berlin, could add to a growing body of evidence that suggests the Red Planet may not be as geologically “dead,” or inactive, as once believed.

Overlaid with a thick and smooth layer of sediment which may have once been a seabed, the structures are significantly denser than their surroundings — though a more precise explanation of what they might be has so far eluded researchers.

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One of the brain’s most celebrated qualities is its adaptability. Changes to neural circuits, whose connections are continually adjusted as we experience and interact with the world, are key to how we learn. But to keep knowledge and memories intact, some parts of the circuitry must be resistant to this constant change.

“Brains have figured out how to navigate this landscape of balancing between stability and flexibility, so that you can have new learning and you can have lifelong memory,” says neuroscientist Mark Harnett, an investigator at MIT’s McGovern Institute for Brain Research.

In research published in Cell Reports, Harnett and his team show how individual neurons can contribute to both parts of this vital duality. By studying the synapses through which pyramidal neurons in the brain’s sensory cortex communicate, they have learned how the cells preserve their understanding of some of the world’s most fundamental features, while also maintaining the flexibility they need to adapt to a changing world.

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A flexible screen inspired in part by squid can store and display encrypted images like a computer—using magnetic fields rather than electronics. The research is reported in Advanced Materials by University of Michigan engineers.

“It’s one of the first times where mechanical materials use magnetic fields for system-level encryption, information processing and computing. And unlike some earlier mechanical computers, this device can wrap around your wrist,” said Joerg Lahann, the Wolfgang Pauli Collegiate Professor of Chemical Engineering and co-corresponding author of the study.

The researchers’ screen could be used wherever light and power sources are cumbersome or undesirable, including clothing, stickers, ID badges, barcodes and e-book readers. A single screen can reveal an image for everyone to see when placed near a standard magnet or a private encrypted image when placed over a complex array of magnets that acts like an encryption key.

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Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.

New published research from an interdisciplinary group of researchers primarily based at Carnegie Mellon University and the University of Pittsburgh presents a novel solution to mitigate some of these challenges. The machine learning-driven framework, Spiking Network Optimization using Population Statistics (SNOPS), can quickly and accurately customize models that reproduce activity to mimic what’s observed in the .

The work is published in the journal Nature Computational Science.

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In a published in the journal npj Computational Materials, Oak Ridge National Laboratory scientists developed a deep learning model—a type of artificial intelligence that mimics human brain function—to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition, or PLD.

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PRESS RELEASE — IQM Quantum Computers (IQM), a global leader in designing, building, and selling superconducting quantum computers, today announced that it has reached a milestone of producing 30 full-stack quantum computers in its manufacturing facility in Finland.

In addition, IQM has also completed the delivery and installation of six full-stack quantum computers to customers worldwide. IQM’s previously announced customers include VTT Technical Research Centre of Finland, Leibniz Supercomputing Centre (LRZ) in Germany as well as Forschungszentrum Jülich in Germany.

With increasing demand for on-premises quantum computers globally, IQM Quantum Computers Co-CEO Mikko Välimäki highlighted the significance of the manufacturing milestone, stating: “One of the key bottlenecks in quantum computer adoption has been prohibitively high prices. We are the first quantum computer manufacturer with the goal of taking quantum computers to a much wider market with industrialized manufacturing capabilities that help drive the prices lower. Looking ahead, our production line has the capacity to deliver up to 20 full-stack quantum computers a year.”

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