Computers and Math from Science Daily Feed

Multipath interference disrupts wireless signals, causing issues like TV ghosting and fading. Now, researchers have developed a passive metasurface that overcomes traditional filtering limits. Using a time-varying interlocking mechanism with field-effect transistors, it transmits the first signal while blocking delayed ones from other angles -- without power or processing. This innovation enables low-cost, reliable wireless communication, which is ideal for IoT applications and environments prone to interference.

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers in a practical timeframe. Alternatively, annealing processors (APs), which are specialized hardware for solving COPs, have gained significant attention. They are based on the Ising model, in which COP variables are presented as magnetic spins and constraints as interactions between spins. Solutions are obtained by finding the spin state that minimizes the energy of the system.

A squishy, layered material that dramatically transforms under pressure could someday help computers store more data with less energy. That's according to a new study that shows a hybrid zinc telluride-based material can undergo surprising structural changes when squeezed together like a molecular sandwich.

Large language models (LLMs) are at the forefront of artificial intelligence (AI) and have been widely used for conversational interactions. However, assessing the personality of a given LLM remains a significant challenge. A research team has now developed an AI-driven assessment system, the Language Model Linguistic Personality Assessment (LMLPA), with capabilities to quantitatively measure the personality traits of LLMs through linguistic analysis.

New research demonstrates how mathematical modeling can predict outbreaks of toxic fungi in Texas corn crops -- offering a potential lifeline to farmers facing billions in harvest losses.

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

Scientists have developed a problem-solving architecture modeled on neurobiology that leverages quantum mechanical behavior to guarantee optimal solutions to complex problems.

A recent study has unraveled some of the secrets concealed within the entangled web of quantum systems.

An interdisciplinary research team has unveiled the world's first artificial intelligence (AI) model designed to classify both the cancer stage and risk category of thyroid cancer, achieving impressive accuracy exceeding 90%. This innovative AI model promises to significantly cut frontline clinicians' pre-consultation preparation time by approximately 50%, aligning with the HKSAR Government's initiative to harness AI technology in healthcare.

As artificial intelligence (AI) continues to advance, researchers have identified a breakthrough that could make AI technologies faster and more efficient.

A recent global survey of 156 institutions reveals strong interest in VR-haptic technology for dental training, yet significant barriers impede widespread adoption.

Many products in the modern world are in some way fabricated using computer numerical control (CNC) machines, which use computers to automate machine operations in manufacturing. While simple in concept, the ways to instruct these machines is in reality often complex. A team of researchers has devised a system to demonstrate how to mitigate some of this complexity.

Researchers in the field of exposomics explain how cutting-edge technologies are unlocking this biological archive, ushering in a new era of disease prevention and personalized medicine.

Researchers have long recognized that quantum communication systems would transmit quantum information more faithfully and be impervious to certain forms of error if nonlinear optical processes were used. However, past efforts at incorporating such processes could not operate with the extremely low light levels required for quantum communication.

Researchers have developed a novel high-energy particle detection instrumentation approach that leverages the power of quantum sensors -- devices capable of precisely detecting single particles.

Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural networks were inspired by the infrastructure of the part of the brain that processes static images, which is different from the area of the brain that processes dynamic social scenes.

In examining how different countries have rolled out climate change mitigation strategies, research has found reasons to be optimistic about preserving our environment while promoting prosperity and well-being.

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses.

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.

Combining two different kinds of signals could help engineers build prosthetic limbs that better reproduce natural movements, according to a new study. A combination of electromyography and force myography is more accurate at predicting hand movements than either method by itself.