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Category: computing – Page 646

Scientists Create Underwater Internet

No escape.

Checking your notifications on a dive or live-streaming from the reef may not be such a far-off reality thanks to an underwater internet dubbed “Aqua-Fi.”

Developed by researchers at the King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, Aqua-Fi uses a combination of lasers and existing computing technology to connect devices to the internet more than 30 feet underwater.

With the new technology, researchers were able to place a brief Skype call from a waterproof smartphone, using a standard Wi-Fi signal to connect to an underwater modem.

Tiny Quantum Computer Solves Real Logistics Optimization Problem

Researchers at Chalmers University of Technology, Sweden, have now shown that they can solve a small part of a real logistics problem with their small, but well-functioning quantum computer.

Quantum computers have already managed to surpass ordinary computers in solving certain tasks – unfortunately, totally useless ones. The next milestone is to get them to do useful things. Researchers at Chalmers University of Technology, Sweden, have now shown that they can solve a small part of a real logistics problem with their small, but well-functioning quantum computer.

Building a Quantum Network Using Tiny Nanoscale Nodes

New research demonstrates a way to use quantum properties of light to transmit information, a key step on the path to the next generation of computing and communications systems.

Researchers at the University of Rochester and Cornell University have taken an important step toward developing a communications network that exchanges information across long distances by using photons, mass-less measures of light that are key elements of quantum computing and quantum communications systems.

The research team has designed a nanoscale node made out of magnetic and semiconducting materials that could interact with other nodes, using laser light to emit and accept photons.

Exploring the potential of near-sensor and in-sensor computing systems

As the number of devices connected to the internet continues to increase, so does the amount of redundant data transfer between different sensory terminals and computing units. Computing approaches that intervene in the vicinity of or inside sensory networks could help to process this growing amount of data more efficiently, decreasing power consumption and potentially reducing the transfer of redundant data between sensing and processing units.

Researchers at Hong Kong Polytechnic University have recently carried out a study outlining the concept of near-sensor and in-sensor computing. These are two computing approaches that enable the partial transfer of computation tasks to sensory terminals, which could reduce and increase the performance of algorithms.

“The number of sensory nodes on the Internet of Things continues to increase rapidly,” Yang Chai, one of the researchers who carried out the study, told TechXplore. “By 2032, the number of will be up to 45 trillion, and the generated information from sensory nodes is equivalent to 1020 bit/second. It is thus becoming necessary to shift part of the computation tasks from cloud computing centers to edge devices in order to reduce energy consumption and time delay, saving communication bandwidth and enhancing data security and privacy.”

LED Developed That Can Be Integrated Directly Into Computer Chips

The advance could cut production costs and reduce the size of microelectronics for sensing and communication.

Light-emitting diodes — LEDs — can do way more than illuminate your living room. These light sources are useful microelectronics too.

Smartphones, for example, can use an LED proximity sensor to determine if you’re holding the phone next to your face (in which case the screen turns off). The LED sends a pulse of light toward your face, and a timer in the phone measures how long it takes that light to reflect back to the phone, a proxy for how close the phone is to your face. LEDs are also handy for distance measurement in autofocus cameras and gesture recognition.

UV-LED disinfection of Coronavirus: Wavelength effect

UV light-emitting diodes (UV LEDs) are an emerging technology and a UV source for pathogen inactivation, however low UV-LED wavelengths are costly and have low fluence rate. Our results suggest that the sensitivity of human Coronavirus (HCoV-OC43 used as SARS-CoV-2 surrogate) was wavelength dependent with 267 nm ~ 279 nm 286 nm 297 nm. Other viruses showed similar results, suggesting UV LED with peak emission at ~286 nm could serve as an effective tool in the fight against human Coronaviruses.

Quantum Researchers Create an Error-Correcting Cat – New Device Combines Schrödinger’s Cat With Quantum Error Correction

Yale physicists have developed an error-correcting cat — a new device that combines the Schrödinger’s cat concept of superposition (a physical system existing in two states at once) with the ability to fix some of the trickiest errors in a quantum computation.

It is Yale’s latest breakthrough in the effort to master and manipulate the physics necessary for a useful quantum computer: correcting the stream of errors that crop up among fragile bits of quantum information, called qubits, while performing a task.

A new study reporting on the discovery appears in the journal Nature. The senior author is Michel Devoret, Yale’s F.W. Beinecke Professor of Applied Physics and Physics. The study’s co-first authors are Alexander Grimm, a former postdoctoral associate in Devoret’s lab who is now a tenure-track scientist at the Paul Scherrer Institute in Switzerland, and Nicholas Frattini, a graduate student in Devoret’s lab.

‘Exhilarating’ implant turns thoughts to speech

“The mind-reading technology works in two stages. First an electrode is implanted in the brain to pick up the electrical signals that manoeuvre the lips, tongue, voice box and jaw. Then powerful computing is used to simulate how the movements in the mouth and throat would form different sounds. This results in synthesised speech coming out of a “virtual vocal tract”.”

The technology could eventually help those who have lost their voice to speak again.

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