Lifeboat Foundation

An unusual kind of superconductor harbors magnetic vortices that researchers predict should be readily observable thanks to the striped configurations they adopt.

In a nematic superconductor, electron pairs are bound more strongly in one, spontaneously chosen, lattice direction than in the others. This rotational symmetry breaking of the pairs’ wave function is just one of this type of superconductor’s unusual properties. A leading candidate to exhibit nematic superconductivity, copper-doped bismuth selenide, is also predicted to sustain surface charge-carrying quasiparticles known as Majorana fermions, which researchers think could be used for superconducting quantum technologies. What’s more, nematic superconductors harbor topological solitons known as skyrmions, whose complexity gives them many ways to arrange themselves and whose small size and low energy have attracted interest for data storage technologies. Now Thomas Winyard of the University of Edinburgh, UK, and colleagues have calculated the various skyrmion configurations that could arise in a nematic superconductor [1, 2].

The physicist Tony Skyrme came up with the concept of a skyrmion in 1961 when working on a particle physics problem. In the 2000s, the quasiparticle was then linked to condensed-matter systems when it was discovered that quasiparticles could also be used to explain magnetic vortices in certain thin films.

Advanced communication technologies, such as the fifth generation (5G) mobile network and the internet of things (IoT) can greatly benefit from devices that can support wireless communications while consuming a minimum amount of power. As most existing devices have separate components to perform computations and transmit data, reducing their energy consumption can be challenging.

Researchers at Nanjing University, Southeast University and Purple Mountain Laboratories in China recently devised a parallel in-memory wireless computing scheme that performs computations and wireless transmission concurrently on the same hardware. This design, introduced in Nature Electronics, is based on the use of mermristive crossbar arrays, grid-like structures containing memristors, electrical components that can both process and store data.

“In one of our previous works published in Nature Nanotechnology, we proposed the realization of massively parallel in-memory computing by using continuous-time data representation in a nanoscale crossbar array,” Shi-Jun Liang, one of the researchers who carried out the recent study, told Tech Xplore.

Apple is overtly teasing the start of “a new era” and the ability to “code new worlds” at WWDC this year, building anticipation around the widely expected announcement of its mixed-reality headset.

A tweet shared by Apple earlier today made the “new era” remark, seemingly leaning into the high expectations surrounding next week’s WWDC keynote. The launch of a major new device and operating system, something that has not occurred since the debut of the original Apple Watch in September 2014, would certainly seem to justify the start of a new era for the company.

Is the Quantum for Bio Program Director, at Wellcome Leap (https://wellcomeleap.org/our-team/elicakyoseva/), a $40M +$10M program focused on identifying, developing, and demonstrating biology and healthcare applications that will benefit from the quantum computers expected to emerge in the next 3–5 years.

Wellcome Leap was established with $300 million in initial funding from the Wellcome Trust, the UK charitable foundation, to accelerate discovery and innovation for the benefit of human health, focusing on build bold, unconventional programs and fund them at scale—specifically programs that target global human health challenges, with the goal of achieving breakthrough scientific and technological solutions.

Continue reading “Dr. Elica Kyoseva, Ph.D. — Quantum for Bio Program Director — Wellcome Leap” »

Linux routers in Japan are the target of a new Golang remote access trojan (RAT) called GobRAT.

“Initially, the attacker targets a router whose WEBUI is open to the public, executes scripts possibly by using vulnerabilities, and finally infects the GobRAT,” the JPCERT Coordination Center (JPCERT/CC) said in a report published today.

The compromise of an internet-exposed router is followed by the deployment of a loader script that acts as a conduit for delivering GobRAT, which, when launched, masquerades as the Apache daemon process (apached) to evade detection.

Any traditional computer such as a Turing machine or a Post machine or any other reasonable computer can become a self-referential Gödel machine by just loading it with a particular form of machine-dependent software, software that is self-referential and has the potential to modify itself.

But Gödel machines cannot in any way overcome the fundamental limitations of computability and of theorem proving which were first identified in 1931 by Kurt Gödel himself.

Computing machinery and intelligence by Alan Turing.

Shared with Dropbox.

I recently got a call from my IT department asking why I was driving a significant amount of Azure spending in the past month. Before we were in the cloud, this type of question never came up. Rather, it was me asking IT for more servers to run my workloads. Whether or not I was using our on-premise computing resources was irrelevant—that is, until I ran out.

My experience is not at all unique. In our modern, post-cloud world, every organization has gone from unmetered, unfettered access to compute resources to a metered, easy-to-inspect, pay-by-the-second cloud spending nightmare. What we gained in endlessly scalable, elastic compute, we lost in our ability to run workloads without anyone watching. This new reality demands an elevated level of fiscal responsibility and shared ownership, especially as it relates to analytics.

The cloud computing pay-per-use model means organizations can no longer run workloads without considering the costs those workloads generate. It’s now imperative that organizations manage their cloud spending to stay competitive.

A perovskite-based device that combines aspects of electronics and photonics may open doors to new kinds of computer chips or quantum qubits.

MIT

MIT is an acronym for the Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in 1861. It is organized into five Schools: architecture and planning; engineering; humanities, arts, and social sciences; management; and science. MIT’s impact includes many scientific breakthroughs and technological advances. Their stated goal is to make a better world through education, research, and innovation.