Do you really want to live forever? Futurist Ray Kurzweil has predicted that humans will achieve immortality in just seven years. Genetic engineering company touts ‘Jurassic Park’-like plan to ‘de-extinct’ dodo bird Elon Musk ‘comfortable’ putting Neuralink chip into one of his kids.
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A nonreciprocal critical current is known as the superconducting diode effect (SDE). Here, the authors use SQUID-on-tip to study SDE in a EuS/Nb bilayer and find that the stray field from magnetized EuS creates screening currents in the Nb, which lead to SDE by affecting vortex flow dynamics.
Researchers at University of Oxford have recently created a quantum memory within a trapped-ion quantum network node. Their unique memory design, introduced in a paper in Physical Review Letters, has been found to be extremely robust, meaning that it could store information for long periods of time despite ongoing network activity.
“We are building a network of quantum computers, which use trapped ions to store and process quantum information,” Peter Drmota, one of the researchers who carried out the study, told Phys.org. “To connect quantum processing devices, we use single photons emitted from a single atomic ion and utilize quantum entanglement between this ion and the photons.”
Trapped ions, charged atomic particles that are confined in space using electromagnetic fields, are a commonly used platform for realizing quantum computations. Photons (i.e., the particles of light), on the other hand, are generally used to transmit quantum information between distant nodes. Drmota and his colleagues have been exploring the possibility of combining trapped ions with photons, to create more powerful quantum technologies.
Macromolecular machines acting on genes are at the core of life’s fundamental processes, including DNA replication and repair, gene transcription and regulation, chromatin packaging, RNA splicing, and genome editing. Here, we report the increasing role of computational biophysics in characterizing the mechanisms of “machines on genes”, focusing on innovative applications of computational methods and their integration with structural and biophysical experiments. We showcase how state-of-the-art computational methods, including classical and ab initio molecular dynamics to enhanced sampling techniques, and coarse-grained approaches are used for understanding and exploring gene machines for real-world applications.
The story of modern physics has been one of reductionism. We do not need a vast encyclopedia to understand the inner workings of Nature. Rather, we can describe a near-limitless range of natural phenomena, from the interior of a proton to the creation of galaxies, with apparently unreasonable efficiency using the language of mathematics. In the words of theoretical physicist Eugene Wigner, ‘The miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve. We should be grateful for it.’
The mathematics of the twentieth century described a Universe populated by a limited number of different types of fundamental particles interacting with each other in an arena known as spacetime according to a collection of rules that can be written down on the back of an envelope. If the Universe was designed, it seemed, the designer was a mathematician.
Today, the study of black holes appears to be edging us in a new direction, towards a language more often used by quantum computer scientists. The language of information. Space and time may be emergent entities that do not exist in the deepest description of Nature. Instead, they are synthesized out of entangled quantum bits of information in a way that resembles a cleverly constructed computer code. If the Universe is designed, it seems, the designer is a programmer.
Nita Farahany, professor of law and philosophy at Duke University, has written a new book, The Battle for Your Brain: Defending the Right to Think Freely in the Age of Neurotechnology (Macmillan), which explores how our lives may be impacted by the use of brain-computer interfaces and neural monitoring devices.
Farahany argues that the development and use of neurotech presents a challenge to our current understanding of human rights. Devices designed to measure, record, and influence our mental processes—used by us or on us—may infringe on our rights to mental privacy, freedom of thought, and mental self-determination. She calls this collection of freedoms the right to cognitive liberty. IEEE Spectrum spoke with Farahany recently about the future and present of neurotech and how to weigh its promises—enhanced capabilities, for instance, including bionics and prosthetics and even a third arm —against its potential to interfere with people’s mental sovereignty.
Author, Nita FarahanyMerritt Chesson.
Editor’s note: “Quantum Computing Stocks Offer Life-Changing Wealth Potential for Long-Term Investors” was previously published in January 2023. It has since been updated to include the most relevant information available.
As a long-term investor during periods of market volatility like we’re seeing today, there’s one thing I always do.
Year 2022 😗
WASHINGTON, Nov 30 (Reuters) — In science fiction — think films and TV like “Interstellar” and “Star Trek” — wormholes in the cosmos serve as portals through space and time for spacecraft to traverse unimaginable distances with ease. If only it were that simple.
Scientists have long pursued a deeper understanding of wormholes and now appear to be making progress. Researchers announced on Wednesday that they forged two miniscule simulated black holes — those extraordinarily dense celestial objects with gravity so powerful that not even light can escape — in a quantum computer and transmitted a message between them through what amounted to a tunnel in space-time.
It was a “baby wormhole,” according to Caltech physicist Maria Spiropulu, a co-author of the research published in the journal Nature. But scientists are a long way from being able to send people or other living beings through such a portal, she said.
In the current edition of The Lancet Neurology, researchers of the Human Brain Project (HBP) present the novel clinical uses of advanced brain modeling methods. Computational brain modeling techniques that integrate the measured data of a patient have been developed by researchers at AMU Marseille as part of the HBP. The models can be used as predictive tools to virtually test clinical hypotheses and strategies.
To create personalized brain models, the researchers use a simulation technology called The Virtual Brain (TVB), which HBP scientist Viktor Jirsa has developed together with collaborators. For each patient, the computational models are created from data of the individually measured anatomy, structural connectivity and brain dynamics.
The approach has been first applied in epilepsy, and a major clinical trial is currently ongoing. The TVB technology enables clinicians to simulate the spread of abnormal activity during epileptic seizures in a patient’s brain, helping them to better identify the target areas. In January, the team had presented the detailed methodology of the epilepsy work on the cover of Science Translational Medicine.
Johns Hopkins researchers break ground on new field of ‘organoid intelligence’.
According to researchers at Johns Hopkins University, a “biocomputer” powered by human brain cells could be developed within our lifetime. This technology is expected to exponentially expand the capabilities of modern computing and open up new areas of research.
The team’s plan for “organoid intelligence” was outlined in a recent article published in the journal Frontiers in Science.