Computers and Math from Science Daily Feed

Researchers developed a system that converts AI explanations into narrative text that can be more easily understood by users. This system could help people determine when to trust a model's predictions.

Researchers discovered that three-layer graphene can naturally self-organize into specific stacking patterns (ABA/ABC domains) during growth on silicon carbide, eliminating the need for manual manipulation. This breakthrough could enable scalable production of quantum devices.

Using a new calculation method, researchers found in an international comparative study that investors value corporate environmental performance more than mere information disclosure. In some developed countries, beyond sustainability efforts, companies can improve environmental efficiency to enhance economic performance.

Researchers have realized a new design for a superconducting quantum processor, aiming at a potential architecture for the large-scale, durable devices the quantum revolution demands. Unlike the typical quantum chip design that lays the information-processing qubits onto a 2-D grid, the team has designed a modular quantum processor comprising a reconfigurable router as a central hub. This enables any two qubits to connect and entangle, where in the older system, qubits can only talk to the qubits physically nearest to them.

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a team has created an algorithm capable of optimizing multiple targets at once, effectively enabling a quantum machine to multitask.

Nanostructured two-dimensional gold monolayers offer possibilities in catalysis, electronics, and nanotechnology.

A groundbreaking piece of navigation technology that uses the ability to sense information through touch can help people with visual impairment perform a location task as well as sighted people, according to new research.

For human researchers, it takes many years of work to discover new super-resolution microscopy techniques. The number of possible optical configurations of a microscope -- for example, where to place mirrors or lenses -- is enormous. Researchers have now developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy. The framework, called XLuminA, performs optimizations 10,000 times faster than well-established methods.

The rapidly increasing aging population will lead to a shortage of care providers in the future. While robotic technologies are a potential alternative, their widespread use is limited by poor acceptance. In a new study, researchers have examined a user-centric approach to understand the factors influencing user willingness among caregivers and recipients in Japan, Ireland, and Finland. Users' perspectives can aid the development of home-care robots with better acceptance.

Mathematicians have applied statistical mechanics to climate change detection and attribution for first time. They have shown how to separate the 'signal' of human-made climate change from the 'noise' of natural climate fluctuations. This allows for a dramatic improvement in the ability to detect climate change and early warnings of climatic tipping points.

A ground-breaking study showcases a significant advancement in laser technology, promising more affordable and scalable solutions for applications ranging from environmental monitoring to biomedical imaging. Researchers have developed the first colloidal quantum dot (CQD)-based laser capable of operating across the entire extended short-wave infrared (SWIR) spectrum.

New research has shown how the quantum mechanical principle of strong coupling opens unrivalled possibilities for designing optical filters.

Artificial intelligence provides new evidence that rapid decarbonization will not prevent warming beyond 1.5 degrees Celsius. The hottest years of this century are likely to shatter recent records.

Researchers found that adolescents with more symptoms of gaming addiction showed lower brain activity in the region involved in decision-making and reward processing; this blunted response to reward anticipation is associated with higher symptoms of gaming addiction over time and suggests that reduced sensitivity to rewards, in particular non-gaming rewards, may play a role in problematic gaming.

Imagine an artificial intelligence (AI) model that can watch and understand moving images with the subtlety of a human brain. Now, scientists have made this a reality by creating MovieNet: an innovative AI that processes videos much like how our brains interpret real-life scenes as they unfold over time.

Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal details are inaccessible. Now, researchers addressed this issue through a strategy based on latent context sharing, successfully getting an image classifier to forget multiple classes it was trained on. Their findings could expand the use cases of large-scale AI models while safeguarding end users' privacy.

Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks.

To help improve punctuality by understanding how delays propagate and identifying critical trains, researchers have developed a new network-based method.

Modeling how cars deform in a crash, how spacecraft responds to extreme environments, or how bridges resist stress could be made thousands of times faster thanks to new artificial intelligence that enables personal computers to solve massive math problems that generally require supercomputers.

A pioneering artificial intelligence (AI) powered model able to understand the sequences and structure patterns that make up the genetic 'language' of plants, has been launched by a research collaboration.