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Category: computing – Page 83

Did Venus have oceans in its ancient past and could they have supported life as we know it, or even as we don’t know it? This is what a recent study published in Nature Astronomy hopes to address as a team of researchers from the University of Cambridge investigated the climate history of Venus and whether it possessed liquid water oceans on its surface deep in its past. This study holds the potential to help scientists better understand past conditions on planetary bodies throughout the solar system and what this could mean for finding evidence of ancient life beyond Earth.

For the study, the researchers used computer models to estimate how fast the Venusian atmosphere is losing water, carbon dioxide, and carbonyl sulphide molecules, all of which are required to be replenished by volcanic gases so atmospheric stability can be maintained. Therefore, by studying how fast these molecules are leaving the atmosphere, scientists can estimate the amount of present and past volcanic activity on Venus, thus determining if Venus once had oceans of liquid water that might have supported life as we know it. In the end, the researchers determined that Venus is far too dry to have ever possessed bodies of liquid oceans on its surface.

“We won’t know for sure whether Venus can or did support life until we send probes at the end of this decade,” said Tereza Constantinou, who is a PhD student at Cambridge’s Institute of Astronomy and lead author of the study. “But given it likely never had oceans, it is hard to imagine Venus ever having supported Earth-like life, which requires liquid water.”

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A remarkable proof-of-concept project has successfully manufactured nanoscale diodes and transistors using a fast, cheap new production technique in which liquid metal is directed to self-assemble into precise 3D structures.

In a peer-reviewed study due to be released in the journal Materials Horizons, a North Carolina State University team outlined and demonstrated the new method using an alloy of indium, bismuth and tin, known as Field’s metal.

The liquid metal was placed beside a mold, which the researchers say can be made in any size or shape. As it’s exposed to oxygen, a thin oxide layer forms on the surface of the metal. Then, a liquid is poured onto it, containing negatively-charged ligand molecules designed to pull individual metal atoms off that oxide layer as positively-charged ions, and bind with them.

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One of the most powerful assets of the brain is that it can store information as memories, allowing us to learn from our mistakes. However, some memories remain vivid while others become forgotten. Unlike computers, our brains appear to filter which memories are salient enough to store.

Researchers from Tohoku University have discovered that part of the memory selection process depends on the function of astrocytes, a special type of cell that surrounds neurons in the brain. They showed that artificially acidifying the astrocytes did not affect short-term memory but prevented memories from being remembered long-term.

The findings are published in the journal Glia.

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Physicists at Loughborough University have made an exciting breakthrough in understanding how to fine-tune the behavior of electrons in quantum materials poised to drive the next generation of advanced technologies.

Quantum materials, like and strontium ruthenates, exhibit remarkable properties such as superconductivity and magnetism, which could revolutionize areas like computing and energy storage.

However, these materials are not yet widely used in real-world applications due to the challenges in understanding the complex behavior of their electrons—the particles that carry electrical charge.

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For the first time, scientists have invented a liquid ink that doctors can print onto a patient’s scalp to measure brain activity. The technology, presented December 2 in the journal Cell Biomaterials, offers a promising alternative to the cumbersome process currently used for monitoring brainwaves and diagnosing neurological conditions. It also has the potential to enhance non-invasive brain-computer interface applications.

“Our innovations in sensor design, biocompatible ink, and high-speed printing pave the way for future on-body manufacturing of electronic tattoo sensors, with broad applications both within and beyond ,” says Nanshu Lu, the paper’s co-corresponding author at the University of Texas at Austin.

Electroencephalography (EEG) is an important tool for diagnosing a variety of neurological conditions, including seizures, , epilepsy, and brain injuries. During a traditional EEG test, technicians measure the patient’s scalp with rulers and pencils, marking over a dozen spots where they will glue on electrodes, which are connected to a data-collection machine via long wires to monitor the patient’s brain activity. This setup is time consuming and cumbersome, and it can be uncomfortable for many patients, who must sit through the EEG test for hours.

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In recent years, quantum physicists and engineers have been trying to develop quantum computer processors that perform better than classical computers on some tasks. Yet conclusive demonstrations proving that quantum systems perform better than their classical counterparts (i.e., realizations of a quantum advantage) remain scarce, due to various experimental challenges.

Researchers at Henan Key Laboratory of Quantum Information and Cryptography and the S. N. Bose National Center for Basic Sciences carried out an experiment aimed at establishing the of an elementary quantum system for .

Their paper, published in Physical Review Letters, demonstrates that a single qubit can outperform a classical bit in a communication task that does not involve any shared randomness (i.e., classically correlated random variables between communicating parties).

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A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of computational biology and quantum computing.

The study, “Bisection Grover’s Search Algorithm and Its Application in Analyzing CITE-seq Data,” was published in the Journal of the American Statistical Association on Sept. 20.

While traditional approaches struggle to handle the immense amount of data generated from measuring both RNA and in individual cells, the new enables analysis of data from a single-cell technology known as CITE-seq. It allows for selection of the most important markers from billions of possible combinations—a task that would be formidable using classical methods.

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Leading by example is a core belief. I’ve always advocated for a leadership approach that empowers the team and fosters a culture of continuous learning. The focus on sustainability isn’t just about technology—it’s about cultivating an environment where innovation thrives and where every team member is aligned with the vision of creating a more energy-efficient future.

Operating on three core principles (empowerment, communication and accountability) drives success and ensures every decision made is in line with long-term goals of sustainability and growth. Empowering the team means trusting them to innovate and make decisions that move the company forward, while open communication ensures alignment as the organization scales.

Looking ahead, the future of data centers lies in sustainability and transparency. As the demand for computing power grows, so too will the need for solutions that minimize environmental impact.

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