Communication & Information

A research group has analyzed the digital ecosystem of 11- to 12-year-old children across the Basque Autonomous Community, and concluded that two out of three own a smartphone. They use smartphones mainly to talk to family and friends. The researchers also point out that, at that age, access to social media mainly focuses on watching videos and not on generating content.

Quantum teleportation could provide near-instant communication over long distances. But, inside Internet cables, photons needed for teleportation are lost within the millions of light particles required for classical communications. A new study quantified light scattering to find exact areas to place photons to keep them safe from other particles. The approach successfully worked in experiments carrying regular Internet traffic.

Artificial intelligence that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI.

SMART, a new software package, can make studying signaling processes significantly easier. Results could accelerate research in fields across the life sciences, such as systems biology, pharmacology and biomedical engineering.

Researchers developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron, which could lead to new breakthroughs in advanced computing. With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction.

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, finds a new study.

A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures. Each image was annotated with 21 key landmarks on the hand, providing detailed spatial information about its structure and position. Combining MediaPipe and YOLOv8, a deep learning method they trained, with fine-tuning hyperparameters for the best accuracy, represents a groundbreaking and innovative approach that hasn't been explored in previous research.

A new AI image tool could aid the development of algorithms to analyse wildlife images to help improve understanding of how species around the world are responding to climate change, a study suggests.

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while maintaining its overall accuracy.

Researchers have developed a 3D-printed device that generates twisting light beams with orbital angular momentum (OAM), a form of rotational energy that can carry more data than regular beams.

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.

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.

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

A research team has taken inspiration from the brains of insects and animals for more energy-efficient robotic navigation.

Since the first fiber optic cables rolled out in the 1970s, they've become a major part of everything from medical devices to high-speed internet and cable TV. But as it turns out, one group of marine mollusks was way ahead of us. A new study reveals that clams called heart cockles have unique structures in their shells that act like fiber optic cables to convey specific wavelengths of light into the bivalves' tissues.

Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and energy-efficiency of running intensive deep learning models for demanding applications like lidar, astronomical research, and navigation.

Humans get a real buzz from the virtual world of gaming and augmented reality but now scientists have trialled the use of these new-age technologies on small animals, to test the reactions of tiny hoverflies and even crabs. In a bid to comprehend the aerodynamic powers of flying insects and other little-understood animal behaviors, the study is gaining new perspectives on how invertebrates respond to, interact with and navigate virtual 'worlds' created by advanced entertainment technology.

A new article examines the convergence of physics, chemistry, and AI, highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing the role of interdisciplinary research in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general intelligence.

Deforestation has remained a significant issue globally, with primary forests contributing to 16 per cent of the total tree cover loss in the last two decades, driven by climate change and intensive human activity. This threatens natural resources, biodiversity, and people's quality of life. To protect forests, scientists have developed Forest 4.0, an intelligent forest data processing model integrating blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) technologies. The system enables real-time monitoring of forest conditions, sustainable resource accounting, and a more transparent forest governance model.

The genome has space for only a small fraction of the information needed to control complex behaviors. So then how, for example, does a newborn sea turtle instinctually know to follow the moonlight? Neuroscientists have devised a potential explanation for this age-old paradox. Their ideas should lead to faster, more evolved forms of artificial intelligence.

To understand the practical challenges of indoor augmented reality applications on smartphones, researchers conducted 113 hours of extensive experiments and case studies over 316 patterns to determine the factors that degrade localization accuracy in real-world indoor environments. Landmarks for vision systems, LiDAR, and the IMU were evaluated. To solve the identified problems, the researchers suggest radio-frequency-based localization as a potential solution for practical augmented reality applications.

Researchers study the importance of enunciation when using speech-to-text software in medical situations.

Researchers have found a new way to improve a key element of thermophotovoltaic systems, which convert heat into electricity via light. Engineers designed a thermal emitter that can deliver high efficiencies within practical design parameters.

Archaeology studies the human past through the excavation of things people made and used thousands of years ago -- from architecture to objects like pottery bowls and animal bones from meals. Although many excavation projects create digital 3D models of what they uncover, archaeologists need new ways to meaningfully use those data. Some projects share 3D models with the public as tourism and teaching tools -- one may have recently seen 3D displays at museums. However, archaeologists themselves have not yet taken full advantage of these models in their own fieldwork and research. That is about to change.

Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers have developed an artificial intelligence (AI) model that helps to identify depression based on both speech and brain neural activity. This multimodal approach, combining two different data sources, allows a more accurate and objective analysis of a person's emotional state, opening the door to a new phase of depression diagnosis.

In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and a second AI algorithm, the scientists can now automatically locate carcasses across vast landscapes.

When making diagnostic decisions, radiologists and other physicians may rely too much on artificial intelligence (AI) when it points out a specific area of interest in an X-ray, according to a new study.

Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.

A study has identified strategies for using large language models (LLMs), a type of artificial intelligence (AI), in health systems while maintaining cost efficiency and performance. The findings provide insights into how health systems can leverage advanced AI tools to automate tasks efficiently, saving time and reducing operational costs while ensuring these models remain reliable even under high task loads.

Researchers have created a headphone prototype that allows listeners to hear people speaking within a bubble with a programmable radius of 3 to 6 feet. Voices and sounds outside the bubble are quieted an average of 49 decibels, even if they're louder than those in the bubble.

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

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.

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

A less wasteful way to train large language models, such as the GPT series, finishes in the same amount of time for up to 30% less energy, according to a study.

Computer science researchers have developed a new crowdsourcing system that dramatically slashes wildfire mapping time from hours to seconds using a network of low-cost mobile phones mounted on properties in high fire threat areas. In computer simulations, the system, FireLoc, detected blazes igniting up to 3,000 feet away and successfully mapped wilderness fires to within 180 feet of their origin.

Biological engineers developed a computational approach to extracting useful information from large biological datasets. They showed they could unravel interactions that determine how the immune system responds to tuberculosis vaccination and infection.

Large language models can achieve incredible performance on some tasks without having internalized a coherent model of the world or the rules that govern it, researchers find. This means these models are likely to fail unexpectedly if they are deployed in situations where the environment or task slightly changes.

Researchers have developed an AI-powered system that mimics the human sense of smell to detect and track toxic gases in real time. Using advanced artificial neural networks combined with a network of sensors, the system quickly identifies the source of harmful gases like nitrogen dioxide that poses severe respiratory health risks.

BiomedGPT is a new a new type of artificial intelligence (AI) designed to support a wide range of medical and scientific tasks. This new study is described in the article as 'the first open-source and lightweight vision -- language foundation model, designed as a generalist capable of performing various biomedical tasks.'

Bio-based thermoplastics are produced from renewable organic materials and can be recycled after use. Their resilience can be improved by blending bio-based thermoplastics with other thermoplastics. However, the interface between the materials in these blends sometimes requires enhancement to achieve optimal properties. A team has now investigated at BESSY II how a new process enables thermoplastic blends with a high interfacial strength to be made from two base materials: Images taken at the new nano station of the IRIS beamline showed that nanocrystalline layers form during the process, which increase material performance.

Edge computing on a smartphone has been used to analyze data collected by a multimodal flexible wearable sensor patch and detect arrhythmia, coughs and falls.

Researchers have demonstrated a network connection between quantum processors over metropolitan distances. Their result marks a key advance from early research networks in the lab towards a future quantum internet. The team developed fully independently operating nodes and integrated these with deployed optical internet fiber, enabling a 25-km quantum link.

Inspired by large language models, researchers developed a training technique that pools diverse data to teach robots new skills.

A range of different age checks are needed to protect children -- but also to ensure they can take advantages of positive opportunities online -- a new study says.

Lower cooling requirements, longer operating times, lower error rates: Quantum computers based on spin photons and diamond promise significant advantages over competing quantum computing technologies. The consortium of the BMBF project SPINNING coordinated by Fraunhofer IAF has succeeded in decisively advancing the development of spin-photon-based quantum computers.

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based computing-in-memory architecture, significantly reducing circuit size and power consumption. Their design achieved near-identical accuracy and faster training times compared to traditional BNNs, making it a promising solution for efficient AI implementation in resource-limited devices, such as those used in IoT systems.

Researchers created MobiPrint, a mobile 3D printer that can automatically measure a room and print objects onto the floor. The team's graphic interface lets users design objects in a space that the robot has mapped out. The prototype, which the team built on a modified consumer vacuum robot, can add a range of objects to rooms.

Researchers give robots a sense of touch by 'listening' to vibrations, allowing them to identify materials, understand shapes and recognize objects just like human hands. The ability to interpret the world through acoustic vibrations emanating from an object -- like shaking a cup to see how much soda is left or tapping on a desk to see if it's made out of real wood -- is something humans do without thinking. And it's an ability that researchers are on the cusp of bringing to robots to augment their rapidly growing set of sensing abilities.

A new system helps human fact-checkers validate the responses generated by a large language model. By speeding validation time by 20 percent, the system could improve manual verification and help users spot errors in AI models deployed in real-world situations.

AI-written stories are getting better, but people still distrust AI-generated art.

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery.

Researchers developed HuBar, a visual analytics tool that summarizes and compares task performance sessions in augmented reality (AR) by analyzing performer behavior and cognitive workload. Using aviation as a case study, the research team demonstrated that HuBar provides insights into pilot behavior and mental states, helping researchers and trainers identify patterns, pinpoint areas of difficulty, and optimize AR-assisted training programs to improve learning outcomes and real-world performance.

Atmospheric blocking events are persistent, high-impact weather patterns that occur when large-scale high-pressure systems become stationary and divert the jet stream and storm tracks for days to weeks, and can be associated with record-breaking flooding or heat waves, such as in Europe in 2023. Scientists used a deep learning model to infer the frequency of blocking events over the past 1,000 years and shed light on how future climate change may impact these significant phenomena.

Researchers have developed a novel training protocol for brain-computer interfaces in a study with rhesus monkeys. The method enables precise control of prosthetic hands using signals from the brain alone. Researchers were able to show that the neural signals that control the different hand postures in the brain are primarily important for this control, and not, as previously assumed, signals that control the movement's velocity. The results are essential for improving the fine control of neural hand prostheses, which could give paralyzed patients back some or all of their mobility (Neuron).

A new study opens the door to cutting-edge solutions that could contribute to the realization of a system capable of processing quantum information in a simple yet powerful way. The work presents a method for manipulating the photonic states of light in a never-before-seen way, offering greater control over the evolution of photon propagation. This control makes it possible to improve the detection and number of photon coincidences, as well as the efficiency of the system.

A new world record in wireless transmission, promising faster and more reliable wireless communications, has been set by researchers. The total bandwidth of 145GHz is more than five times higher than the previous wireless transmission world record.

Engineers have developed a new system for full-body motion capture -- and it doesn't require specialized rooms, expensive equipment, bulky cameras or an array of sensors. Instead, it requires only a smartphone, smartwatch or earbuds.

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare in bright environments and boosts sensitivity in low-light scenarios. By filtering unnecessary details, this technology significantly improves the performance of single-lens cameras, representing a notable advancement in robotic vision capabilities.