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Category: computing – Page 177

Updated software improves slicing for large-format 3D printing

Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed the first additive manufacturing slicing computer application to simultaneously speed and simplify digital conversion of accurate, large-format three-dimensional parts in a factory production setting.

The technology, known as Slicer 2, can help widen the use of 3D printing for larger objects made from metallic and composite materials. Objects the size of a house and beyond are possible, such as land and aquatic vehicles and aerospace applications that include parts for reusable space vehicles.

Slicing software converts a computer-aided design, or CAD, digital model into a series of two-dimensional layers called slices. It calculates print parameters for each slice, such as printhead path and speed, and saves the information in numerically controlled computer language. The computer file contains instructions for a 3D printer to create a precise 3D version of the image.

Towards single atom computing via high harmonic generation

face_with_colon_three year 2023.

The development of alternative platforms for computing has been a longstanding goal for physics, and represents a particularly pressing concern as conventional transistors approach the limit of miniaturization. A potential alternative paradigm is that of reservoir computing, which leverages unknown, but highly nonlinear transformations of input-data to perform computations. This has the advantage that many physical systems exhibit precisely the type of nonlinear input-output relationships necessary for them to function as reservoirs. Consequently, the quantum effects which obstruct the further development of silicon electronics become an advantage for a reservoir computer. Here we demonstrate that even the most basic constituents of matter–atoms–can act as a reservoir for computing where all input-output processing is optical, thanks to the phenomenon of High Harmonic Generation.

Understanding Thermodynamic Computing: A Game-Changer in Energy-Efficient Computing

Thermodynamic computing introduces a new, potentially more energy-efficient and probabilistic approach to computing, which could revolutionize the way we approach and understand computing Questions to inspire discussion What is thermodynamic computing? —Thermodynamic computing is a new approach to computing that aims to be more energy-efficient and probabilistic.

Chinese neural probe could be ‘transformative’ advance for brain-computer links

The probe also achieved stable neural recordings in rat brains for up to two years, showing excellent biocompatibility and long-term recording stability, state news agency Xinhua reported.

Cheng Heping, with the Chinese Academy of Sciences and director of the National Centre for Biomedical Imaging Science at Peking University, told Xinhua that the achievement provided a powerful tool for high-throughput simultaneous monitoring of activity in multiple brain regions, and for exploring the relationships between neural activity and behaviour.

Time Crystals Could Unlock a Radical New Future For Quantum Computers

The path to quantum supremacy is complicated by a fairy tale challenge – how do you carry a cloud without changing its shape?

The potential solution sounds almost as fantastical as the problem. You could guide the cloud to dance as it travels, to the beat of a unique material known as a time crystal.

Krzysztof Giergiel and Krzysztof Sacha from Jagiellonian University in Poland and Peter Hannaford from Swinburne University of Technology in Australia propose a novel kind of ‘time’ circuit might be up to the task of preserving the nebulous states of qubits as they’re carried through tempests of quantum logic.

What happened in Big Bang — new theory, new state of matter

Physicists have proposed a new theory: in the first quintillionth of a second, the universe may have sprouted microscopic black holes with enormous amounts of nuclear charge.

For every kilogram of matter that we can see — from the computer on your desk to distant stars and galaxies — there are 5kgs of invisible matter that suffuse our surroundings. This “dark matter” is a mysterious entity that evades all forms of direct observation yet makes its presence felt through its invisible pull on visible objects.

Fifty years ago, physicist Stephen Hawking offered one idea for what dark matter might be: a population of black holes, which might have formed very soon after the Big Bang. Such “primordial” black holes would not have been the goliaths that we detect today, but rather microscopic regions of ultradense matter that would have formed in the first quintillionth of a second following the Big Bang and then collapsed and scattered across the cosmos, tugging on surrounding space-time in ways that could explain the dark matter that we know today.

Researchers develop Superman-Inspired Imager Chip for Mobile Devices

Researchers from The University of Texas at Dallas and Seoul National University have developed an imager chip inspired by Superman’s X-ray vision that could be used in mobile devices to make it possible to detect objects inside packages or behind walls.

Chip-enabled cellphones might be used to find studs, wooden beams or wiring behind walls, cracks in pipes, or outlines of contents in envelopes and packages. The technology also could have medical applications.

The researchers first demonstrated the imaging technology in a 2022 study. Their latest paper, published in the March print edition of IEEE Transactions on Terahertz Science and Technology, shows how researchers solved one of their biggest challenges: making the technology small enough for handheld mobile devices while improving image quality.

Quantum Annealers Unravel the Mysteries of Many-Body Systems

Scientists have utilized a quantum annealer to simulate quantum materials effectively, marking a crucial development in applying quantum computing in material science and enhancing quantum memory device performance.

Physicists have long been pursuing the idea of simulating quantum particles with a computer that is itself made up of quantum particles. This is exactly what scientists at Forschungszentrum Jülich have done together with colleagues from Slovenia. They used a quantum annealer to model a real-life quantum material and showed that the quantum annealer can directly mirror the microscopic interactions of electrons in the material. The result is a significant advancement in the field, showcasing the practical applicability of quantum computing in solving complex material science problems. Furthermore, the researchers discovered factors that can improve the durability and energy efficiency of quantum memory devices.

Richard Feynman’s Legacy in Quantum Computing.

New computational microscopy technique provides more direct route to crisp images

For hundreds of years, the clarity and magnification of microscopes were ultimately limited by the physical properties of their optical lenses. Microscope makers pushed those boundaries by making increasingly complicated and expensive stacks of lens elements. Still, scientists had to decide between high resolution and a small field of view on the one hand or low resolution and a large field of view on the other.

In 2013, a team of Caltech engineers introduced a called FPM (for Fourier ptychographic microscopy). This technology marked the advent of computational microscopy, the use of techniques that wed the sensing of conventional microscopes with that process detected information in new ways to create deeper, sharper images covering larger areas. FPM has since been widely adopted for its ability to acquire high-resolution images of samples while maintaining a large field of view using relatively inexpensive equipment.

Now the same lab has developed a new method that can outperform FPM in its ability to obtain images free of blurriness or distortion, even while taking fewer measurements. The new technique, described in a paper that appeared in the journal Nature Communications, could lead to advances in such areas as biomedical imaging, digital pathology, and drug screening.