Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 33

Many atomic nuclei have a magnetic field similar to that of Earth. However, directly at the surface of a heavy nucleus such as lead or bismuth, it is trillions of times stronger than Earth’s field and more comparable to that of a neutron star. Whether we understand the behavior of an electron in such strong fields is still an open question.

A research team led by TU Darmstadt at the GSI Helmholtz Center for Heavy Ion Research has now taken an important step toward clarifying this question. Their findings have been published in Nature Physics. The results confirm the .

Hydrogen-like ions, i.e., to which only a is bound, are theoretically particularly easy to describe. In the case of heavy nuclei with a high proton number—bismuth, for example, has 83 positively charged protons in its nucleus—the strong electrical attraction binds the electron close to the nucleus and thus within this extreme . There, the electron aligns its own magnetic field with that of the nucleus like a compass needle.

Read more | >

Researchers, students and science-lovers across the world now have access to the design of the globally significant SABRE South dark matter experiment in the lead up to its installation in the Stawell Underground Physics Laboratory.

“The SABRE South Technical Design Report Executive Summary” was published in the Journal of Instrumentation in April.

The paper, published by the SABRE Collaboration, details the aims of the SABRE South experiment, which will provide data from the Southern Hemisphere to corroborate results seen in the DAMA/LIBRA Collaboration in Italy.

Read more | >

It would be difficult to understand the inner workings of a complex machine without ever opening it up, but this is the challenge scientists face when exploring quantum systems. Traditional methods of looking into these systems often require immense resources, making them impractical for large-scale applications.

Researchers at UC San Diego, in collaboration with colleagues from IBM Quantum, Harvard and UC Berkeley, have developed a novel approach to this problem called “robust shallow shadows.” This technique allows scientists to extract essential information from more efficiently and accurately, even in the presence of real-world noise and imperfections. The research is published in the journal Nature Communications.

Imagine casting shadows of an object from various angles and then using those shadows to reconstruct the object. By using algorithms, researchers can enhance sample efficiency and incorporate noise-mitigation techniques to produce clearer, more detailed “shadows” to characterize quantum states.

Read more | >

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the “light signatures” (optical spectra) of molecules, materials and disease biomarkers, potentially enabling faster and more precise medical diagnoses and sample analysis.

“Imagine being able to detect early signs of diseases like Alzheimer’s or COVID-19 just by shining a light on a drop of fluid or a ,” said Ziyang Wang, an electrical and computer engineering doctoral student at Rice who is a first author on a study published in ACS Nano. “Our work makes this possible by teaching computers how to better ‘read’ the signal of light scattered from tiny molecules.”

Every material or molecule interacts with light in a unique way, producing a distinct pattern, like a fingerprint. Optical spectroscopy, which entails shining a laser on a material to observe how light interacts with it, is widely used in chemistry, materials science and medicine. However, interpreting spectral data can be difficult and time-consuming, especially when differences between samples are subtle. The new algorithm, called Peak-Sensitive Elastic-net Logistic Regression (PSE-LR), is specially designed to analyze light-based data.

Read more | >

Researchers at the University of Pittsburgh have created a groundbreaking tissue engineering platform using 3D-printed collagen scaffolds called CHIPS.

By mimicking natural cellular environments, they enable cells to grow, interact, and form functional tissues — a major step beyond traditional silicone-based microfluidic models. The platform not only models diseases like diabetes but could also replace animal testing in the future. Plus, their designs are freely available to fuel broader scientific innovation.

3D bioprinting: turning science fiction into science reality.

Read more | >

KAUST is part of an international collaboration that has demonstrated how an ionic salt molecule, known as CPMAC, can significantly boost solar cell performance by 0.6%. A new study published in Science reveals that integrating a synthetic molecule significantly improves the energy efficiency and

Read more | >

A major breakthrough at POSTECH could dramatically boost AI speeds and device efficiency.

Researchers have, for the first time, decoded how Electrochemical Random-Access Memory (ECRAM) works, using a special technique to observe internal electron behavior even at extreme temperatures. This hidden mechanism, where oxygen vacancies act like shortcuts for electrons, could unlock faster AI systems and longer-lasting smartphones, laptops, and tablets.

Breakthrough at POSTECH: boosting AI efficiency.

Read more | >

A new University of Zurich study shows that people are more concerned about the immediate risks of AI, like bias and misinformation, than about distant existential threats. Most people are more concerned about the immediate risks of artificial intelligence than about distant, theoretical threats

Read more | >

With an aim to accelerate legislative reform, the United Arab Emirates (UAE) Cabinet has launched a new AI-based regulatory intelligence system that will make laws for the country. Prime Minister of the UAE, Sheikh Mohammed bin Rashid Al Maktoum in a post on social media said that this system will work on creating a comprehensive legislative plan that brings together all federal and local laws in the UAE, connecting them through artificial…

Read more | >