Computers and Math from Science Daily Feed

Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a laptop, a process that previously took a supercomputer weeks or months.

Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials.

Researchers are utilizing artificial intelligence to analyze the behavior of laboratory mice more efficiently and reduce the number of animals in experiments.

A 'deep learning' artificial intelligence model can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more accurately, than people. The development could dramatically speed up the pace of disease-related research. It also holds potential for improved medical diagnosis, such as detecting cancer from a biopsy image in a matter of minutes, a process that typically takes a human pathologist several hours.

Researchers have developed a three-dimensional mathematical model of prostate cancer. The model depicts various processes, including tumour growth, genetic evolution and tumour cell competition.

The detection of cancer-associated micro-ribonucleic acids (miRNAs) in urine through a combination of nanowire-based miRNA extraction and machine learning (ML) analysis can fuel the development of early-stage cancer diagnostic tools.

Mobile phones could be the key to a cheaper and more reliable way of tracking animals for ecology and conservation research, according to a new study.

An international team of scientists has identified a surprising factor that accelerates the degradation of lithium-ion batteries leading to a steady loss of charge. This discovery provides a new understanding of battery life and offers strategies to combat self-discharge, which could improve performance in various applications from smartphones to electric vehicles.

Hospitals are already deploying artificial intelligence (AI) to enhance patient care. But can it actually improve doctors' diagnoses? A new study has surprising answers.

How to keep stray radiation from 'shorting' superconducting qubits; a pair of studies shows where ionizing radiation is lurking and how to banish it.

Researchers have developed a robot that identifies different plant species at various stages of growth by 'touching' their leaves with an electrode. The robot can measure properties such as surface texture and water content that cannot be determined using existing visual approaches. The robot identified ten different plant species with an average accuracy of 97.7% and identified leaves of the flowering bauhinia plant with 100% accuracy at various growth stages.

A new study has uncovered important behavior in the flow of electric current through quantum superconductors, potentially advancing the development of future technologies like quantum computing.

Scientists point out that a coherent approach to understanding the threats posed by artificial intelligence is still elusive. They call for a complex systems perspective to better assess and mitigate these risks, particularly in light of long-term uncertainties and complex interactions between AI and society.

Linguistics and computer science researchers have discovered some of the root causes of why AI large language models perform poorly in human-like conversations.

Researchers have developed PanoRadar, a new tool to give robots superhuman vision by transforming simple radio waves into detailed, 3D views of the environment.

Scientists have advanced their NeuroMechFly model, simulating fruit fly movement in the real world. With integrated vision and smell, NeuroMechFly v2 helps us understand brain-body coordination, setting a path for neuroengineering's role in robotics and AI.

Inside cells, there exists an extensive system of canals known as the endoplasmic reticulum (ER), which consists of membrane-encased tubes that are partially broken down as needed -- for instance in case of a nutrient deficiency. As part of this process, bulges or protrusions form in the membrane, which then pinch off and are recycled by the cell. A study has examined this protrusion process using computer simulations. Its finding: certain structural motifs of proteins in the ER membrane play a central role in this process.

Research shows that a newly-developed wireless EKG patch is as accurate, if not more accurate, than results from traditional EKG machines. The device is known as the EKG Patch Solution.

Study findings could serve as a foundation for broader neuro-monitoring applications across intensive care units globally.

Research describes a computational model that captures the intricate muscular architecture of an octopus arm.