Computers and Math from Science Daily Feed

Researchers have developed advanced terahertz photodetectors containing 'living' microelectrodes. A vanadium dioxide (VO2) layer was precisely deposited on a silicon substrate. Temperature regulation modulated the size of conductive metallic areas in VO2, forming a dynamic microelectrode network that selectively enhanced the response of the silicon substrate to terahertz light. These advanced photodetectors reveal the potential of modifiable metamaterials such as VO2 to overcome the performance limitations of traditional materials.

Students attending schools that ban the use of phones throughout the school day aren't necessarily experiencing better mental health and wellbeing, as the first worldwide study of its kind has found that just banning smartphones is not enough to tackle their negative impacts.

Quantum spin liquids are fascinating states of matter where magnetic spins stay disordered, defying the usual rules of magnetism. Scientists have made an exciting discovery about one such material. Instead of acting like a 2D system as expected, it behaves like a 1D system. This breakthrough changes how we understand these mysterious materials, offering new insights into magnetism and opening doors to advances in quantum materials and technology.

Physicists measured how readily a current of electron pairs flows through 'magic-angle' graphene, a major step toward understanding how this unusual material superconducts. By determining how readily electron pairs flow through this material, scientists have taken a big step toward understanding its remarkable properties.

A study by economists shows a wide gap between the kinds of math problems kids who work in retail markets do well and the kinds of problems kids in school do well.

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists have demonstrated the first instance of distributed quantum computing. Using a photonic network interface, they successfully linked two separate quantum processors to form a single, fully connected quantum computer, paving the way to tackling computational challenges previously out of reach.

Physicists have achieved a breakthrough in data processing by employing an 'inverse-design' approach. This method allows algorithms to configure a system based on desired functions, bypassing manual design and complex simulations. The result is a smart 'universal' device that uses spin waves ('magnons') to perform multiple data processing tasks with exceptional energy efficiency. This innovation marks a transformative advance in unconventional computing, with significant potential for next-generation telecommunications, computing, and neuromorphic systems.

A research team presents an AI assessor for Hall-effect ion thrusters, the engines of satellites and space probes.

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: sparsity and symmetry.

Researchers have developed a computer model to help scientists identify tumor-fighting immune cells in patients with lung cancer treated with immune checkpoint inhibitors.

Electrochemical reaction-based stimuli-responsive materials are shaping up the era of innovative display devices. By embedding luminescent europium(III) complexes and color-changing viologen derivatives in a layered clay matrix, the device achieves simultaneous control of light emission and color at low voltage. The use of clay-based materials also highlights an eco-friendly approach to enhancing electronic device performance. This innovation could revolutionize display technology and the development of sensors, adaptable to changing light conditions.

Engineers developed a training method for multiagent systems, such as large numbers of drones, that can guarantee their safe operation in crowded environments.

With the growing popularity of telehealth comes new issues with billing.

The development of vehicle components is a lengthy and therefore very costly process. Researchers have developed a method that can shorten the development phase of the powertrain of battery electric vehicles by several months. A team is combining simulation models of components with evolutionary optimization algorithms. This AI system automatically optimizes the entire powertrain -- from the power electronics to the electric machine through to the transmission -- in line with the manufacturer's technical requirements, taking into account targets such as production costs, efficiency and package space requirements in the vehicle.

Skyrmions are nanometer- to micrometer-sized magnetic whirls that exhibit particle-like properties and can be moved efficiently by electrical currents. These properties make skyrmions an excellent system for new types of data storage or computers. However, for the optimization of such devices, it is usually too computationally expensive to simulate the complicated internal structure of the skyrmions. One possible approach is the efficient simulation of these magnetic spin structures as particles, similar to the simulation of molecules in biophysics. Until now, however, there has been no conversion between simulation time and experimental real time.

By analyzing almost 10,000 pregnancies, researchers discovered previously unidentified combinations of risk factors linked to serious negative pregnancy outcomes, finding that there may be up to a tenfold difference in risk for infants who are currently treated identically under clinical guidelines.

Researchers have developed a new material that harnesses the power of enzymes more effectively. These materials have improved the reaction efficiency and long-term stability of enzymes in electrochemical biosensors used in health care and other applications. Furthermore, the researchers significantly enhanced device performance.

The electronics of the future can be made even smaller and more efficient by getting more memory cells to fit in less space. One way to achieve this is by adding the noble gas xenon when manufacturing digital memories. This technology enables a more even material coating even in small cavities.

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer. A team of researchers has developed a new approach to this problem using artificial intelligence (AI).

A new study shows that artificial intelligence (AI) can help doctors make better decisions when treating cancer. However, it also highlights challenges in how doctors and AI work together. The study focused on AI-assisted radiotherapy for non-small cell lung cancer and hepatocellular carcinoma (liver cancer).