Computers and Math from Science Daily Feed

Dedicated memory tests on smartphones enable the detection of 'mild cognitive impairment', a condition that may indicate Alzheimer's disease, with high accuracy.

Researchers identify transformative effects of electronic health record (EHR) optimization on departmental productivity.

Researchers have now developed standards and calibrations for optical microscopes that allow quantum dots to be aligned with the center of a photonic component to within an error of 10 to 20 nanometers (about one-thousandth the thickness of a sheet of paper). Such alignment is critical for chip-scale devices that employ the radiation emitted by quantum dots to store and transmit quantum information.

Researchers have conducted a series of participatory deliberation workshops in which the participants were asked to consider issues of future society and manufacturing, in general, and as they relate to hydrothermally produced porous glass. In workshops where the perspective of 'imaginary future generations' was adopted, participants' perceptions of the technology's feasibility and future potentiality changed significantly.

High-power lasers are often used to modify polymer surfaces to make high-tech biomedical products, electronics and data storage components. Now researchers have discovered a light-responsive, inexpensive sulfur-derived polymer is receptive to low power, visible light lasers -- promising a more affordable and safer production method in nanotech, chemical science and patterning surfaces in biological applications.

Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new technique enables the characterization of various polarized waves and the detection of seismic events that have previously gone unnoticed by conventional methods. These findings pave the way for improving a variety of applications, including earthquake detection.

Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or LLMs.

GPT-4 can accurately interpret types of cells important for the analysis of single-cell RNA sequencing -- a sequencing process fundamental to interpreting cell types -- with high consistency compared to that of time-consuming manual annotation by human experts of gene information.

Pairing cryptocurrency mining -- notable for its outsize consumption of carbon-based fuel -- with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new study.

Pushing for a higher speed isn't just for athletes. Researchers, too, can achieve such feats with their discoveries. A new device called SCARF (for swept-coded aperture real-time femtophotography) can capture transient absorption in a semiconductor and ultrafast demagnetization of a metal alloy. This new method will help push forward the frontiers of knowledge in a wide range of fields, including modern physics, biology, chemistry, materials science, and engineering.

Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

Researchers have brought together two Nobel prize-winning research concepts to advance the field of quantum communication. Scientists can now efficiently produce nearly perfect entangled photon pairs from quantum dot sources.

AI is revolutionizing the way researchers seek to identify new materials, but it still has some shortcomings. Now, a team of researchers has navigated AI's pitfalls to identify a thermoelectric material that boasts remarkable properties.

Scientists made a single-molecule transistor using quantum interference to control electron flow. This new design offers high on/off ratio and stability, potentially leading to smaller, faster, and more energy-efficient devices. Quantum interference also improves the transistor's sensitivity to voltage changes, further boosting its efficiency.

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers have developed a novel algorithm called post-processing variationally scheduled quantum algorithm. The novelty of this innovative algorithm lies in the use of a post-processing technique combined with variational scheduling to achieve high-quality solutions to COPs in a short time.

Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now designed a scalable, fully-coupled processor with 4096 spins and parallel processing capabilities. It demonstrates superior performance and power efficiency compared to traditional devices. The research team aims to develop a 2050-level quantum computer computing system by 2030, potentially revolutionizing digital industries without relying on extensive infrastructure or cloud support.

A team of researchers has proposed a new concept for magnet-based memory devices, which might revolutionize information storage devices owing to their potential for large-scale integration, non-volatility, and high durability.

Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence model which can design billions of new antibiotic molecules that are inexpensive and easy to build in the laboratory.

A research team has developed an n-channel diamond MOSFET (metal-oxide-semiconductor field-effect transistor). The developed n-channel diamond MOSFET provides a key step toward CMOS (complementary metal-oxide-semiconductor: one of the most popular technologies in the computer chip) integrated circuits for harsh-environment- applications as well as the development of diamond power electronics.