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Category: computing – Page 37

Meta’s wristband breakthrough lets you use digital devices without touching them

Could Meta be on the verge of transforming how we interact with our digital devices? If the company’s latest innovation takes off, we might soon be controlling our computers, cell phones and tablets with a simple flick of the wrist.

Researchers at Meta’s Reality Labs division have unveiled an experimental wristband that translates and subtle finger movements into commands that interact with a computer. This allows a user to push a cursor around a screen or open an app without needing a mouse, touchscreen or keyboard. The technology can even transcribe handwriting in the air into text (currently at a speed of 20.9 words per minute).

In a paper published in Nature, the team describes how its sEMG-RD (surface electromyography research) works. The wristband uses a technique called electromyography to pick up when the brain tells the hand to perform an action. It then converts those signals into commands that control a connected device, such as your phone.

Engineers overcome radiation challenge with custom silicon chips

The Large Hadron Collider (LHC) is tough on electronics. Situated inside a 17-mile-long tunnel that runs in a circle under the border between Switzerland and France, this massive scientific instrument accelerates particles close to the speed of light before smashing them together. The collisions yield tiny maelstroms of particles and energy that hint at answers to fundamental questions about the building blocks of matter.

Those collisions produce an enormous amount of data—and enough radiation to scramble the bits and logic inside almost any piece of electronic equipment.

That presents a challenge to CERN’s physicists as they attempt to probe deeper into the mysteries of the Higgs boson and other fundamental particles. Off-the-shelf components simply can’t survive the inside the accelerator, and the market for radiation-resistant circuits is too small to entice investment from commercial chip manufacturers.

New software simulates cancer cell behavior using genomics and computational models

In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines genomics technologies with computational modeling to predict cell changes in behavior, such as communication between cells that could cause cancer cells to flourish.

Scientists advance efforts to create ‘virtual cell lab’ as testing ground for future research with live cells

Using mathematical analysis of patterns of human and animal cell behavior, scientists say they have developed a computer program that mimics the behavior of such cells in any part of the body. Led by investigators at Indiana University, Johns Hopkins Medicine, the University of Maryland School of Medicine and Oregon Health & Science University, the new work was designed to advance ways of testing and predicting biological processes, drug responses and other cell dynamics before undertaking more costly experiments with live cells.

With further work on the program, the researchers say it could eventually serve as a “digital twin” for testing any drug’s effect on cancer or other conditions, gene environment interactions during brain development, or any number of dynamic cellular molecular processes in people where such studies are not possible.

The new study and examples of cell simulations are described online July 25 in the journal Cell.

Physicists discover new state of quantum matter

Researchers at the University of California, Irvine have discovered a new state of quantum matter. The state exists within a material that the team reports could lead to a new era of self-charging computers and ones capable of withstanding the challenges of deep space travel.

“It’s a new phase of matter, similar to how water can exist as liquid, ice or vapor,” said Luis A. Jauregui, professor of physics & astronomy at UC Irvine and corresponding author of the new paper in Physical Review Letters.

“It’s only been theoretically predicted—no one has ever measured it until now.”

Research reveals quantum topological potential in material

New research into topological phases of matter may spur advances in innovative quantum devices. As described in a new paper published in the journal Nature Communications, a research team including Los Alamos National Laboratory scientists used a novel strain engineering approach to convert the material hafnium pentatelluride (HfTe5) to a strong topological insulator phase, increasing its bulk electrical resistance while lowering it at the surface, a key to unlocking its quantum potential.

“I’m excited that our team was able to show that the elusive and much-sought-after topological surface states can be made to become a predominant electrical conduction pathway,” said Michael Pettes, scientist with the Center for Integrated Nanotechnologies (CINT) at the Laboratory.

“This is promising for the development of types of quantum optoelectronic devices, dark matter detectors and topologically protected devices such as quantum computers. And the methodology we demonstrate is compatible for experimentation on other .”

New method decodes the hidden origins of magnetism

We know magnetism as a fundamental force of nature that plays a crucial role in both the natural world and modern technology. It governs the behavior of materials at the atomic level and is essential for the functioning of countless devices in our everyday life, including data storage, sensing, wireless charging, sound recording and playing systems, and more.

New memristor-based system could boost processing of radiofrequency signals

The development of more advanced technologies to process radiofrequency signals could further advance wireless communication, allowing devices connected to the internet to share information with each other faster and while consuming less energy. Currently, radio frequency signals are processed using software-defined radios (SDRs), systems that can modulate, filter and analyze signals using software rather than hardware components.

Despite their widespread use, these systems rely on purely digital hardware in which computing and memory modules are physically separated, leading to constant data shuttling between the two and hence extra energy consumption. Furthermore, the extensive use of circuit components known as analog-to-digital converters (ADCs), which convert incoming radiofrequency signals into digital values that can then be processed by digital computers, often results in processing delays (i.e., latency) and substantial energy consumption. Electronics engineers have thus been trying to develop alternative systems that can directly manipulate signals in their original (i.e., analog) form, which would reduce the movement of data and lower energy consumption.

Researchers at the University of Massachusetts Amherst, Texas A&M University and TetraMem Inc. recently introduced a promising new system for processing analog radiofrequency systems, which is based on non-volatile memory devices known as memristors integrated on a chip. Their proposed system, presented in a paper in Nature Electronics, was found to process radiofrequency signals significantly faster and more energy-efficiently than existing SDRs.

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