Computers and Math from Science Daily Feed

A research team has recently developed a novel algorithm in quantum physics known as 'entanglement microscopy' that enables visualization and mapping of this extraordinary phenomenon at a microscopic scale. By zooming in on the intricate interactions of entangled particles, one can uncover the hidden structures of quantum matter, revealing insights that could transform technology and deepen the understanding of the universe.

Successful uptake of new technology is a matter of emotions -- and with 4 in 5 companies saying they're failing to capitalize on its potential, managers need to know how to deal with them, say researchers.

Scientists can now identify the most harmful pollutants present in UK waters that are having the biggest impact on biodiversity thanks to pioneering AI technology.

Researchers have created a new ultra-broadband electro-optic comb that packs 450 nm of light precision into a chip smaller than a coin, paving the way for smarter, more efficient photonic devices.

Experts highlight the need for a clear framework when it comes to AI research, given the rapid adoption of artificial intelligence by children and adolescents using digital devices to access the internet and social media.

A new paper led by Professor Imanuel Lerman of UC San Diego provides a review of the field of bioelectronic medicine and the most promising opportunities for life-changing new therapies and diagnostics.

Scientists are unlocking the secrets of halide perovskites -- a material that's poised to reshape our future by bringing us closer to a new age of energy-efficient optoelectronics. Two physics professors are studying the material at the nanoscale: a place where objects are invisible to the naked eye. At this level, the extraordinary properties of halide perovskites come to life, thanks to the material's unique structure of ultra-thin crystals -- making it astonishingly efficient at converting sunlight into energy. Think solar panels that are not only more affordable but also far more effective at powering homes. Or LED lights that burn brighter and last longer while consuming less energy.

A team of researchers has developed innovative methods to enhance frequency conversion of terahertz (THz) waves in graphene-based structures, unlocking new potential for faster, more efficient technologies in wireless communication and signal processing.

A brain-computer interface, surgically placed in a research participant with tetraplegia, paralysis in all four limbs, provided an unprecedented level of control over a virtual quadcopter -- just by thinking about moving his unresponsive fingers.

A new computational method gleans more information than its predecessors from maps showing how galaxies are clustered and threaded throughout the universe.

Scientists have developed a computing chip that can learn, correct errors, and process AI tasks.

Neuroscientists have set up computer frameworks that can help model individual brain dynamics.

Two new articles document progress in neuroprosthetic technology that lets people feel the shape and movement of objects moving over the 'skin' of a bionic hand.

The chemical composition of a material alone sometimes reveals little about its properties. The decisive factor is often the arrangement of the molecules in the atomic lattice structure or on the surface of the material. Materials science utilizes this factor to create certain properties by applying individual atoms and molecules to surfaces with the aid of high-performance microscopes. Using artificial intelligence, a new research group now wants to take the construction of nanostructures to a new level.

The robotics industry should be creating robots that could be reprogrammed and repurposed for other tasks once its life span is completed, researchers have advised.

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, that yields correct target values. They showed that conventional reservoir computing (RC), a type of RNN, can be viewed as a linear approximation, and introduced a 'generalized readout' incorporating further order approximations. Using a chaotic time-series forecasting task, they demonstrated that this approach dramatically enhances both prediction accuracy and robustness.

Paper-thin optical lenses simple enough to mass produce like microchips could enable a new generation of compact optical devices. Researchers have fabricated and tested flat lenses called Fresnel zone plates (FZPs), but did so for the first time using only common semiconductor manufacturing equipment, the i-line stepper, for the first time. These flat lenses currently lack the efficiency of in-production lenses, but have the potential to reshape optics for industries ranging from astronomy to health care and consumer electronics.

Data collected by wearable technology can identify disease flare-ups up to seven weeks in advance.

Researchers have developed a novel 6D pose dataset designed to improve robotic grasping accuracy and adaptability in industrial settings. The dataset, which integrates RGB and depth images, demonstrates significant potential to enhance the precision of robots performing pick-and-place tasks in dynamic environments.

For decades there has been near constant progress in reducing the size, and increasing the performance, of the circuits that power computers and smartphones. But Moore's Law is ending as physical limitations -- such as the number of transistors that can fit on a chip and the heat that results from packing them ever more densely -- are slowing the rate of performance increases. Computing capacity is gradually plateauing, even as artificial intelligence, machine learning and other data-intensive applications demand ever greater computational power.