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Archive for the ‘computing’ category: Page 383

Apr 20, 2021

NASA’s New Horizons Reaches a Rare Space Milestone – It’s Almost 5 Billion Miles Away and Still Exploring

Posted by in categories: computing, space travel

In the weeks following its launch in early 2006, when NASA ’s New Horizons was still close to home, it took just minutes to transmit a command to the spacecraft, and hear back that the onboard computer received and was ready to carry out the instructions.

As New Horizons crossed the solar system, and its distance from Earth jumped from millions to billions of miles, that time between contacts grew from a few minutes to several hours. And on April 17 at 12:42 UTC (or April 17 at 8:42 a.m. EDT), New Horizons reached a rare deep-space milepost – 50 astronomical units from the Sun, or 50 times farther from the Sun than Earth is.

Here’s one way to imagine just how far 50 AU is: Think of the solar system laid out on a neighborhood street; the Sun is one house to the left of “home” (or Earth), Mars would be the next house to the right, and Jupiter would be just four houses to the right. New Horizons would be 50 houses down the street, 17 houses beyond Pluto!

Apr 19, 2021

Virtual Humans Are Equal to Real Ones in Helping People Practice New Leadership Skills

Posted by in categories: biotech/medical, computing, virtual reality

Summary: Computer-generated, or virtual humans, prove to be just as good as humans in helping people practice leadership skills.

Source: Frontiers.

A virtual human can be as good as a flesh-and-blood one when it comes to helping people practice new leadership skills. That’s the conclusion from new research published in the journal Frontiers in Virtual Reality that evaluated the effectiveness of computer-generated characters in a training scenario compared to real human role-players in a conventional setting.

Apr 18, 2021

The semiconductor shortage is here to stay, but it will affect chip companies differently

Posted by in categories: biotech/medical, business, computing, internet

This article is part of a series tracking the effects of the COVID-19 pandemic on major businesses and sectors. For other articles and earlier versions, go here.

A global shortage of semiconductors — chips that power massive data-centers, modern autos and countless digital devices — has roiled global manufacturing and is not expected to end soon. It isn’t a blanket problem, however, as different sectors within the chip industry will continue to be affected by the shortage in different ways.

As the industry entered 2020, high demand was expected in the mobile chip area because of the rollout of 5G devices. That path was turned on its head when COVID-19 became a global pandemic, driving millions, if not billions, of people into the safety of their homes to work, go to school, be entertained and to socialize.

Apr 17, 2021

Mounting e-waste is harming the planet. Here’s how we solve the problem

Posted by in categories: biotech/medical, computing, mobile phones, sustainability

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Continue reading “Mounting e-waste is harming the planet. Here’s how we solve the problem” »

Apr 16, 2021

Innovative Technology for Building Ultralow-Loss Integrated Photonic Circuits

Posted by in categories: computing, materials

Encoding information into light, and transmitting it through optical fibers lies at the core of optical communications. With an incredibly low loss of 0.2 dB/km, optical fibers made from silica have laid the foundations of today’s global telecommunication networks and our information society.

Such ultralow optical loss is equally essential for integrated photonics, which enable the synthesis, processing and detection of optical signals using on-chip waveguides. Today, a number of innovative technologies are based on integrated photonics, including semiconductor lasers, modulators, and photodetectors, and are used extensively in data centers, communications, sensing and computing.

Integrated photonic chips are usually made from silicon that is abundant and has good optical properties. But silicon can’t do everything we need in integrated photonics, so new material platforms have emerged. One of these is silicon nitride (Si3N4), whose exceptionally low optical loss (orders of magnitude lower than that of silicon), has made it the material of choice for applications for which low loss is critical, such as narrow-linewidth lasers, photonic delay lines, and nonlinear photonics.

Apr 16, 2021

Unlocking the Next Generation of Computer Technology: New Nanoscale Device for Spintronics

Posted by in categories: computing, nanotechnology, particle physics

Spin waves could unlock the next generation of computer technology, a new component allows physicists to control them.

Researchers at Aalto University have developed a new device for spintronics. The results have been published in the journal Nature Communications, and mark a step towards the goal of using spintronics to make computer chips and devices for data processing and communication technology that are small and powerful.

Traditional electronics uses electrical charge to carry out computations that power most of our day-to-day technology. However, engineers are unable to make electronics do calculations faster, as moving charge creates heat, and we’re at the limits of how small and fast chips can get before overheating. Because electronics can’t be made smaller, there are concerns that computers won’t be able to get more powerful and cheaper at the same rate they have been for the past 7 decades. This is where spintronics comes in.

Apr 16, 2021

Quantum Computing Software Specialist Riverlane Secures $20M in Series A Funding

Posted by in categories: computing, finance, quantum physics

January 25, 2021


CAMBRIDGE, England, Jan. 25, 2021 — Riverlane, a quantum software company, today announces that it has raised $20m in Series A funding to build Deltaflow, its operating system for quantum computers. Over the past year, Riverlane has signed up 20% of the world’s quantum hardware manufacturers to use Deltaflow and will use the funding to expand internationally to the US, Europe and beyond.

The round was led by European technology venture capital fund Draper Esprit, and supported by existing investors, Cambridge Innovation Capital, Amadeus Capital Partners, and the University of Cambridge.

Continue reading “Quantum Computing Software Specialist Riverlane Secures $20M in Series A Funding” »

Apr 16, 2021

AWS reveals a new method to build a more accurate quantum computer

Posted by in categories: computing, quantum physics

AWS researchers have published a new approach to error correction that could pave the way for a fault-tolerant quantum system.

Apr 16, 2021

Hebrew U, Amazon Web Services Launch Quantum Computing Initiative

Posted by in categories: business, computing, quantum physics

Amazon Web Services (AWS) is partnering with the Hebrew University of Jerusalem for a new quantum computing initiative as part of the company’s efforts, launched in 2019, to explore this area of research. These include a cloud-based quantum computing service Amazon Braket to accelerate research and discovery, the Amazon Quantum Solutions Lab to help businesses explore quantum applications, and the AWS Center for Quantum Computing research and development organization.

AWS’ latest collaboration with Hebrew University will fund a team of researchers from the academic institution’s Quantum Information Science Center (QISC), founded in 2013, and the Racah Institute of Physics to advance the understanding of quantum gates – fundamental building blocks of quantum computers, the parties said in a statement on Monday. The collaboration is the first between AWS and any Israeli academic institution in the field.

The university’s Professor Alex Retzker, a researcher of quantum technologies, will lead the research group as part of his role as a Principal Research Scientist at AWS.

Apr 16, 2021

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

Posted by in categories: computing, information science, quantum physics

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build quantum computers, but thinks GPU-accelerated platforms are the best systems for quantum circuit and algorithm development and testing.

As a proof point, Nvidia reported it collaborated with Caltech to develop “a state-of-the-art quantum circuit simulator with cuQuantum running on NVIDIA A100 Tensor Core GPUs. It generated a sample from a full-circuit simulation of the Google Sycamore circuit in 9.3 minutes on Selene, a task that 18 months ago experts thought would take days using millions of CPU cores.”