Computers and Math from Science Daily Feed

An interdisciplinary team of experts has found a way to use artificial intelligence to analyze a household's passive design characteristics and predict its energy expenses with more than 74 percent accuracy. By combining their findings with demographic data including poverty levels, the researchers have created a comprehensive model for predicting energy burden across 1,402 census tracts and nearly 300,000 households in Chicago.

Researchers have developed a deep learning algorithm for removing systematic effects from atomic force microscopy images, enabling more precise profiles of material surfaces.

Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it's essential to consider the environmental impact of AI tools.

New technologies aim to produce high-purity synthetic crystals that become excellent semiconductors when doped with impurities as electron donors or acceptors of other elements. Researchers have now determined the magnitude of the spin-orbit interaction in acceptor-bound excitons in a semiconductor. They broke through the energy resolution limit of conventional luminescence measurements by directly observing the fine structure of bound excitons in boron-doped blue diamond, using optical absorption.

The tone and tuning of musical instruments has the power to manipulate our appreciation of harmony, new research shows. The findings challenge centuries of Western music theory and encourage greater experimentation with instruments from different cultures.

Intelligent tutoring systems for math problems helped pupils remain or even increase their performance during the coronavirus pandemic, according to a new study. Researchers analyzed data from five million exercises done by around 2,700 pupils in Germany over a period of five years. The study found that particularly lower-performing children benefit if they use the software regularly.

Researchers have developed a simulator that enables artificial visual observations for research into the visual prosthesis. This open source tool is available to researchers and offers those who are interested insight into the future application.

Solar energy is one of the most promising, widely adopted renewable energy sources, but the solar cells that convert light into electricity remains a challenge. Scientists have turned to the High-Performance Computing Center Stuttgart to understand how strategically designing imperfections in the system could lead to more efficient energy conversion.

Niobium has long been considered an underperformer in superconducting qubits. Scientists have now engineered a high-quality niobium-based qubit, taking advantage of niobium's superior qualities.

Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner's dilemma. Scientists now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics.

Researchers have shown that expensive aberration-corrected microscopes are no longer required to achieve record-breaking microscopic resolution.

Smarter crop farming that combats weeds, insect pests and plant diseases by integrating modern technologies like AI-based monitoring, robotics, and next-generation biotechnology with healthy and resilient agricultural ecosystems.

Ultraviolet-laser processing is a promising technique for developing intricate microstructures, enabling complex alignment of muscle cells, required for building life-like biohybrid actuators. Compared to traditional complex methods, this innovative technique enables easy and quick fabrication of microstructures with intricate patterns for achieving different muscle cell arrangements, paving the way for biohybrid actuators capable of complex, flexible movements.

Scientists are closer to unravelling the mysterious forces of the universe after working out how to measure gravity on a microscopic level. Experts have never fully understood how the force works in the tiny quantum world -- but now physicists have successfully detected a weak gravitational pull on a tiny particle using a new technique.

Scientists have used a new method to determine the characteristics of optical, i.e. light-based, quantum states. For the first time, they are using certain photon detectors -- devices that can detect individual light particles -- for so-called homodyne detection. The ability to characterize optical quantum states makes the method an essential tool for quantum information processing.

Downscaling of electronic devices, such as transistors, has reached a plateau, posing challenges for semiconductor fabrication. However, a research team led by materials scientists recently discovered a new strategy for developing highly versatile electronics with outstanding performance, using transistors made of mixed-dimensional nanowires and nanoflakes. This innovation paves the way for simplified chip circuit design, offering versatility and low power dissipation in future electronics.

Researchers used ultrathin van der Waals materials to create an electron magnet that can be switched at room temperature. This type of magnet could be used to build magnetic processors or memories that would consume far less energy than traditional devices made from silicon.

Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according researchers who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.

Graphene is an enormously promising material. It consists of a single layer of carbon atoms arranged in a honeycomb pattern and has extraordinary properties: exceptional mechanical strength, flexibility, transparency and outstanding thermal and electrical conductivity. If the already two-dimensional material is spatially restricted even more, for example into a narrow ribbon, controllable quantum effects can be created. This could enable a wide range of applications, from vehicle construction and energy storage to quantum computing.