Classification Description: Animal physiology; Neuroscience; Microbiology; Biotechnology.
The central principle of superconductivity is that electrons form pairs. But can they also condense into foursomes? Recent findings have suggested they can, and a physicist at KTH Royal Institute of Technology today published the first experimental evidence of this quadrupling effect and the mechanism by which this state of matter occurs.
Reporting today in Nature Physics, Professor Egor Babaev and collaborators presented evidence of fermion quadrupling in a series of experimental measurements on the iron-based material, Ba1−x Kx Fe2As2. The results follow nearly 20 years after Babaev first predicted this kind of phenomenon, and eight years after he published a paper predicting that it could occur in the material.
The pairing of electrons enables the quantum state of superconductivity, a zero-resistance state of conductivity which is used in MRI scanners and quantum computing. It occurs within a material as a result of two electrons bonding rather than repelling each other, as they would in a vacuum. The phenomenon was first described in a theory by, Leon Cooper, John Bardeen and John Schrieffer, whose work was awarded the Nobel Prize in 1972.
Forward-looking: The service department can seem like the slowest part of a dealership, especially when it’s your car getting worked on. But Mercedes-Benz is infusing its dealerships with AR technology to speed up the diagnosis and repair of tricky and complex issues with its Virtual Remote Support, powered by Microsoft’s HoloLens 2 and Dynamics 365 Remote Assist. I visited one of Mercedes’ showcases last week to check out the implementation and get some hands-on time with the HoloLens 2.
For customers that bring in a hard-to-solve problem, it was common for Mercedes-Benz to call in a flying doctor, an expert from HQ that would fly in and get hands-on with an issue. That could take days to arrange, not to mention the costs and environmental impacts associated with flying in these technical specialists from all over the country. All the while, the customer is left without their luxury automobile.
While many shoppers go with a Mercedes for the styling and performance, it’s the service experience that impacts their future purchases. Long waits could see someone changing brands in the future.
A hacker has breached the Argentinian government’s IT network and stolen ID card details for the country’s entire population, data that is now being sold in private circles.
The hack, which took place last month, targeted RENAPER, which stands for Registro Nacional de las Personas, translated as National Registry of Persons.
The agency is a crucial cog inside the Argentinian Interior Ministry, where it is tasked with issuing national ID cards to all citizens, data that it also stores in digital format as a database accessible to other government agencies, acting as a backbone for most government queries for citizen’s personal information.
They show how intelligence and body plans are closely linked—and could unlock AI for robots.
NASA released five hours of new recordings.
Five hours of audio taken on the Red Plant by the rover Perseverance reveals the thick sounds of wind, the rover’s own tires, and Ingenuity in the distance.
North Korea fired at least one ballistic missile from its eastern coast on Tuesday morning, according to South Korean and Japanese officials.
The launch took place in the port city of Sinpo, Hamgyong province, at about 10 a.m. local time Tuesday (9 p.m. ET Monday), South Korea’s Joint Chiefs of Staff (JCS) said. In a text to reporters, the JCS said it appeared to be a submarine-launched ballistic missile (SLBM).
South Korea’s Defense Ministry said the missile is estimated to have been fired from the sea, but has yet to confirm whether it was launched from a submarine. Sinpo is home to a North Korean naval shipyard.
Integrated And Cross-Disciplinary Research Focused on Diagnosing, Treating And Curing Cancers — Dr. Antonio Giordano MD, PhD, President & Founder, Sbarro Health Research Organization.
Dr. Antonio Giordano, MD, Ph.D., (https://www.drantoniogiordano.com/) is President and Founder of the Sbarro Health Research Organization (https://www.shro.org/), which conducts research to diagnose, treat and cure cancer, but also has diversified into research beyond oncology, into the areas of cardiovascular disease, diabetes and other chronic illnesses.
Dr. Giordano is also a Professor of Molecular Biology at Temple University in Philadelphia, a ‘Chiara fama’ Professor in the Department of Pathology & Oncology at the University of Siena, Italy, and Director of the Sbarro Institute for Cancer Research and Molecular Medicine, and the Center for Biotechnology, at Temple’s College of Science & Technology.
This study identifies the predicted seismic expression of the high-to-low iron spin crossover in the deep Earth mineral ferropericlase. A depth-dependent signal is detected in the fastest and slowest regions, related to lateral temperature variations, of several global seismic tomography models.
(2021). Nuclear Technology: Vol. 207 No. 8 pp. 1163–1181.
Focusing on nuclear engineering applications, the nation’s leading cybersecurity programs are focused on developing digital solutions to support reactor control for both on-site and remote operation. Many of the advanced reactor technologies currently under development by the nuclear industry, such as small modular reactors, microreactors, etc., require secure architectures for instrumentation, control, modeling, and simulation in order to meet their goals. 1 Thus, there is a strong need to develop communication solutions to enable secure function of advanced control strategies and to allow for an expanded use of data for operational decision making. This is important not only to avoid malicious attack scenarios focused on inflicting physical damage but also covert attacks designed to introduce minor process manipulation for economic gain. 2
These high-level goals necessitate many important functionalities, e.g., developing measures of trustworthiness of the code and simulation results against unauthorized access; developing measures of scientific confidence in the simulation results by carefully propagating and identifying dominant sources of uncertainties and by early detection of software crashes; and developing strategies to minimize the computational resources in terms of memory usage, storage requirements, and CPU time. By introducing these functionalities, the computers are subservient to the programmers. The existing predictive modeling philosophy has generally been reliant on the ability of the programmer to detect intrusion via specific instructions to tell the computer how to detect intrusion, keep log files to track code changes, limit access via perimeter defenses to ensure no unauthorized access, etc.
The last decade has witnessed a huge and impressive development of artificial intelligence (AI) algorithms in many scientific disciplines, which have promoted many computational scientists to explore how they can be embedded into predictive modeling applications. The reality, however, is that AI, premised since its inception on emulating human intelligence, is still very far from realizing its goal. Any human-emulating intelligence must be able to achieve two key tasks: the ability to store experiences and the ability to recall and process these experiences at will. Many of the existing AI advances have primarily focused on the latter goal and have accomplished efficient and intelligent data processing. Researchers on adversarial AI have shown over the past decade that any AI technique could be misled if presented with the wrong data. 3 Hence, this paper focuses on introducing a novel predictive paradigm, referred to as covert cognizance, or C2 for short, designed to enable predictive models to develop a secure incorruptible memory of their execution, representing the first key requirement for a human-emulating intelligence. This memory, or self-cognizance, is key for a predictive model to be effective and resilient in both adversarial and nonadversarial settings. In our context, “memory” does not imply the dynamic or static memory allocated for a software execution; instead, it is a collective record of all its execution characteristics, including run-time information, the output generated in each run, the local variables rendered by each subroutine, etc.