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The ability to link mind and machine has long been the realm of science fiction, but now improvements in our understanding may allow us to network brain to computer in the near future. Companies like Neurolink have begun to explore how to link our neurons to machine, and we’ll explore now such neural interfaces might function and how they might change our lives.

Neurolink Paper, “An integrated brain-machine interface platform with thousands of channels”: https://www.biorxiv.org/content/10.1101/703801v1

Continue reading “Mind-Machine Interfaces” »

Researchers have investigated the capability of known quantum computing algorithms for fault-tolerant quantum computing to simulate the laser-driven electron dynamics of excitation and ionization processes in small molecules. Their research is published in the Journal of Chemical Theory and Computation.

“These quantum computer algorithms were originally developed in a completely different context. We used them here for the first time to calculate electron densities of molecules, in particular their dynamic evolution after excitation by a light pulse,” says Annika Bande, who heads a group on theoretical chemistry at Helmholtz Association of German Research Centers (HZB). Bande and Fabian Langkabel, who is doing his doctorate with her, show in the study how well this works.

“We developed an algorithm for a fictitious, completely error-free quantum computer and ran it on a classical server simulating a quantum computer of ten qubits,” says Langkabel. The scientists limited their study to smaller molecules in order to be able to perform the calculations without a real quantum computer and to compare them with conventional calculations.

By Wiktor Mazin, Jan-Rainer Lahmann, Emil Reinert and Bengt Wegner

Creators are increasingly using Qiskit to make works of quantum art. And, combined with the Raspberry Pi, you have a unique platform to create portable installations beyond the realm of your laptop.

For this project, Wiktor Mazin, Jan-Rainer Lahmann, Emil Reinert and Bengt Wegner teamed up to demonstrate quantum fractals on the Raspberry Pi. We hope to show how to get creative with quantum computers thanks to the portability and ease-of-use of the RasQberry project, while providing a short guide on how you can create your own fractal animations using python code with Qiskit, both via a direct link and via an install on a Raspberry Pi.

Circa 2021:3

Surgical management of breast cancer often results in the absence of the breast. However, existing breast reconstruction methods may not meet the need for a replacement tissue. Tissue engineering with the use of emerging materials offers the promise of generating appropriate replacements. Three-dimensional (3D) printing technology has seen a significantly increased interest and application in medically-related fields in the recent years. This has been especially true in complex medical situations particularly when abnormal or complicated anatomical surgical considerations or precise reconstructive procedures are contemplated. In addition, 3D bio-printing which combines cells with bio-material scaffolds offers an exciting technology with significant applications in the field of tissue engineering. The purpose of this manuscript was to review a number of studies in which 3D printing technology has been used in breast reconstructive surgical procedures, and future directions and applications of 3D bio-printing.

Breast cancer is the most common cancer diagnosed among US women and is second only to lung cancer as a cause of cancer death among women as of 2019. Because ~268,600 (almost six times than DCIS) new cases prove to be an invasive type of breast cancer (1), many women had to choose the removal of the breast, with immediate consideration for a replacement tissue. Although this was satisfactory in many patients, either saline or gel-filled breast implants (2) do carry real risks of complications such as infection, capsular contracture, implant dislocation, or deformities (3, 4). The option of autologous reconstruction can be more texturally natural aesthetically, but it requires a more complex procedure, significant time and expense, and possible muscle weakness or hernia formation at the tissue donor site (5). Tissue engineering intends to address these limitations by combining the 3D printing technology with synthetic or natural structural elements.

Continue reading “3D Printing in Breast Reconstruction: From Bench to Bed” »

Circa 2020 Basically this means a magnetic transistor can have not only quantum properties but also it can have nearly infinite speeds for processing speeds. Which means we can have nanomachines with near infinite speeds eventually.

Abstract The discovery of spin superfluidity in antiferromagnetic superfluid 3He is a remarkable discovery associated with the name of Andrey Stanislavovich Borovik-Romanov. After 30 years, quantum effects in a magnon gas (such as the magnon Bose–Einstein condensate and spin superfluidity) have become quite topical. We consider analogies between spin superfluidity and superconductivity. The results of quantum calculations using a 53-bit programmable superconducting processor have been published quite recently[1]. These results demonstrate the advantage of using the quantum algorithm of calculations with this processor over the classical algorithm for some types of calculations. We consider the possibility of constructing an analogous (in many respecys) processor based on spin superfluidity.

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This is how much it costs to replace the Ford F150 Lightning battery pack.
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https://youtu.be/QQPFk6viR2AFord’s EV sales up amazing 197% — but January 2023 is coming.
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https://youtu.be/PU2l4cfI9SIInvestor warning; now is NOT the time to buy Ford stock.
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Physicists have long struggled to explain why the Universe started out with conditions suitable for life to evolve. Why do the physical laws and constants take the very specific values that allow stars, planets, and ultimately life to develop?

The expansive force of the Universe, dark energy, for example, is much weaker than theory suggests it should be – allowing matter to clump together rather than being ripped apart.

A common answer is that we live in an infinite multiverse of Universes, so we shouldn’t be surprised that at least one Universe has turned out as ours. But another is that our Universe is a computer simulation, with someone (perhaps an advanced alien species) fine-tuning the conditions.

9 nov 2022.

The challenge of fabricating nanowires directly on silicon substrates for the creation of the next generation of electronics has finally been solved by researchers from Tokyo Tech. Next-generation spintronics will lead to better memory storage mechanisms in computers, making them faster and more efficient.

As our world modernizes faster than ever before, there is an ever-growing need for better and faster electronics and computers. Spintronics is a new system which uses the spin of an electron, in addition to the charge state, to encode data, making the entire system faster and more efficient. Ferromagnetic nanowires with high coercivity (resistance to changes in magnetization) are required to realize the potential of spintronics. Especially L 1₀-ordered (a type of crystal structure) cobalt-platinum (CoPt) nanowires.

Conventional fabrication processes for L 1₀-ordered nanowires involve heat treatment to improve the physical and chemical properties of the material, a process called annealing on the crystal substrate; the transfer of a pattern onto the substrate through lithography; and finally the chemical removal of layers through a process called etching. Eliminating the etching process by directly fabricating nanowires onto the silicon substrate would lead to a marked improvement in the fabrication of spintronic devices. However, when directly fabricated nanowires are subjected to annealing, they tend to transform into droplets as a result of the internal stresses in the wire.

Metamorworks/iStock.

The study was conducted at the University of Limerick’s (UL) Bernal Institute in Ireland by a team of researchers from across the globe who created a new type of organic material that can learn from its prior behavior.