Communication & Information

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can perform complex logic operations without additional circuitry, paving the way for capable computer vision systems integrated in everyday devices.

Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.

A team analyzed a range of YouTube videos that focused on learning music by ear and identified four simple ways music learning technology can better aid prospective musicians -- helping people improve recall while listening, limiting playback to small chunks, identifying musical subsequences to memorize, and replaying notes indefinitely.

Researchers developed a faster, more stable way to simulate the swirling electric fields inside industrial plasmas -- the kind used to make microchips and coat materials. The improved method could lead to better tools for chip manufacturing and fusion research.

SeaSplat is an image-analysis tool that cuts through the ocean's optical effects to generate images of underwater environments reveal an ocean scene's true colors. Researchers paired the color-correcting tool with a computational model that converts images of a scene into a three-dimensional underwater 'world' that can be explored virtually.

Researchers demonstrated a way to to manipulate electrons using pulses of light that last less than a trillionth of a second to record electrons bypassing a physical barrier almost instantaneously -- a feat that redefines the potential limits of computer processing power.

Humans no longer have exclusive control over training social robots to interact effectively, thanks to a new study. The study introduces a new simulation method that lets researchers test their social robots without needing human participants, making research faster and scalable.

Researchers have developed a novel framework named WildFusion that fuses vision, vibration and touch to enable robots to 'sense' and navigate complex outdoor environments much like humans do.

We need to learn our letters before we can learn to read and our numbers before we can learn how to add and subtract. The same principles are true with AI, a team of scientists has shown through laboratory experiments and computational modeling. In their work, researchers found that when recurrent neural networks (RNNs) are first trained on simple cognitive tasks, they are better equipped to handle more difficult and complex ones later on.

A new AI chip works without the cloud server or internet connections needed by existing chips. The AI Pro, designed by Prof Hussam Amrouch, is modelled on the human brain. Its innovative neuromorphic architecture enables it to perform calculations on the spot, ensuring full cyber security. It is also up to ten times more energy efficient.

Molecules like DNA are capable of storing large amounts of data without requiring an energy source, but accessing this molecular data is expensive and time consuming. Researchers have now developed an alternative method to encode information in synthetic molecules, which they used to encode and then decode an 11-character password to unlock a computer.

In Project Chimera, a game lab combines a VR computer game with educational problems in order to convey scientific content in a motivating way.

Location data is considered particularly sensitive -- its misuse can have serious consequences. Researchers have now developed a method that allows individuals to cryptographically prove their location -- without revealing it. The foundation of this method is the so-called zero-knowledge proof with standardized floating-point numbers.

New research shows that cyberbullying should be classified as an adverse childhood experience due to its strong link to trauma. Even subtle forms -- like exclusion from group chats -- can trigger PTSD-level distress. Nearly 90% of teens experienced some form of cyberbullying, accounting for 32% of the variation in trauma symptoms. Indirect harassment was most common, with more than half reporting hurtful comments, rumors or deliberate exclusion. What mattered most was the overall amount of cyberbullying: the more often a student was targeted, the more trauma symptoms they showed.

Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like 'no' and 'not.' This could cause them to fail unexpectedly when asked to retrieve medical images that contain certain objects but not others.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality.

A new study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.

Biologists and chemists have a new programming language to uncover previously unknown environmental pollutants at breakneck speed -- without requiring them to code.

ChatGPT responses matched or outperformed epileptologists' responses related to the regions where epileptogenic zones are commonly located. Yet epileptologists provided more accurate responses for the regions rarely affected.

Researchers have developed a new technique called 'Skia' to help computer processors better predict future instructions and improve computing performance.

The growing use of smart home devices is undermining the privacy and safety of domestic workers. New research reveals how surveillance technologies reinforce a sense of constant monitoring and control by domestic workers' employers, increasing their vulnerability and impacting their mental wellbeing.

Our brain is a complex organ. Billions of nerve cells are wired in an intricate network, constantly processing signals, enabling us to recall memories or to move our bodies. Making sense of this complicated network requires a precise look into how these nerve cells are arranged and connected. A new method makes use of off-the-shelf light microscopes, hydrogel and deep learning.

Researchers recently connected their campuses with an experimental quantum communications network using two optical fibers.

Recent artificial intelligence advances have largely focused on text, but AI increasingly shows promise in other contexts, including manufacturing and the service industry. In these sectors, targeted AI improvements can improve product quality and worker safety, according to a new study.

Researchers have developed a new protocol for characterizing quantum gate errors, paving the way toward more reliable quantum simulations and fault-tolerant quantum computing.

Researchers argue that the problem that has been lurking in the margins of many papers about touch sensors lies in the robotic skin itself.

Computer scientists have developed a new AI text-to-video model that learns real-world physics knowledge from time-lapse videos.

Researchers developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered devices like cameras and interfaces to cooperate directly, using a new form of device-to-device communication. In doing so, it eliminates the need for central servers and thus the need for centralized data retention, often seen as a potential security weak point and risk to private data.

A next-generation technology developed in 2023, conversational swarm intelligence (CSI), combines the principles of ASI with the power of large language models.

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.

While exploring a digitally represented object through artificially created sense of touch, brain-computer interface users described the warm fur of a purring cat, the smooth rigid surface of a door key and cool roundness of an apple.

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing approaches still face challenges due to hand-induced occlusions and multimodal data fusion. In a new study, researchers developed a novel deep learning framework that addresses these issues by introducing a novel vote-based fusion module and a hand-aware pose estimation module.

Every second counts when it comes to detecting and treating heart attacks. A new technology may be able to identify heart attacks faster and more accurately than traditional methods.

Researchers demonstrated extremely strong nonlinear light-matter coupling in a quantum circuit. Stronger coupling enables faster quantum readout and operations, ultimately improving the accuracy of quantum operations.

Artificial intelligence (AI) tools significantly improve the readability of online patient education materials (PEMs), making them more accessible, a new study shows.

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

Many products in the modern world are in some way fabricated using computer numerical control (CNC) machines, which use computers to automate machine operations in manufacturing. While simple in concept, the ways to instruct these machines is in reality often complex. A team of researchers has devised a system to demonstrate how to mitigate some of this complexity.

Researchers have long recognized that quantum communication systems would transmit quantum information more faithfully and be impervious to certain forms of error if nonlinear optical processes were used. However, past efforts at incorporating such processes could not operate with the extremely low light levels required for quantum communication.

Researchers have developed a novel high-energy particle detection instrumentation approach that leverages the power of quantum sensors -- devices capable of precisely detecting single particles.

Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural networks were inspired by the infrastructure of the part of the brain that processes static images, which is different from the area of the brain that processes dynamic social scenes.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists combine elements of different methods to improve algorithms or create new ones.

Researchers have developed a new robotic framework powered by artificial intelligence -- called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution) -- that allows robots to learn tasks by watching a single how-to video.

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the accuracy and efficiency of image recognition systems while reducing the computational burden of existing AI models.

A powerful clinical artificial intelligence tool developed by biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step exams), according to a new article.

A team of researchers has developed a new way to control light interactions using a specially engineered structure called a 3D photonic-crystal cavity that could enable transformative advancements in quantum computing, quantum communication and other quantum-based technologies.

According to new research next-generation DNA sequencing (NGS) -- the same technology which is powering the development of tailor-made medicines, cancer diagnostics, infectious disease tracking, and gene research -- could become a prime target for hackers.

A groundbreaking open-source computer program uses artificial intelligence to analyze videos of patients with Parkinson's disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able to work, several key ingredients are required: one of them is an activation function which introduces nonlinearity into the structure. A photonic activation function has important advantages for the implementation of optical neural networks based on light propagation. Researchers have now experimentally shown an all-optically controlled activation function based on traveling sound waves. It is suitable for a wide range of optical neural network approaches and allows operation in the so-called synthetic frequency dimension.

A new study by neuroscientists shows that our brain deals with different forms of visual uncertainty during movements in distinct ways. Depending on the type of uncertainty, planning and execution of movements in the brain are affected differently. These findings could help to optimize brain-computer interfaces that, for example, help people with paralysis to control prostheses or computers with their thoughts alone.

A new approach to streaming technology may significantly improve how users experience virtual reality and augmented reality environments, according to a new study. The research describes a method for directly predicting visible content in immersive 3D environments, potentially reducing bandwidth requirements by up to 7-fold while maintaining visual quality.

American Sign Language (ASL) recognition systems often struggle with accuracy due to similar gestures, poor image quality and inconsistent lighting. To address this, researchers developed a system that translates gestures into text with 98.2% accuracy, operating in real time under varying conditions. Using a standard webcam and advanced tracking, it offers a scalable solution for real-world use, with MediaPipe tracking 21 keypoints on each hand and YOLOv11 classifying ASL letters precisely.

The rapidly increasing data traffic is placing ever greater demands on the capacity of communication systems. A research team now introduces a new amplifier that enables the transmission of ten times more data per second than those of current fiber-optic systems. This amplifier, which fits on a small chip, holds significant potential for various critical laser systems, including those used in medical diagnostics and treatment.

Researchers have successfully demonstrated the UK's first long-distance ultra-secure transfer of data over a quantum communications network, including the UK's first long-distance quantum-secured video call.

A web platform uses a chatbot to enable any chemist -- including undergraduate chemistry majors -- to configure and execute complex quantum mechanical simulations through chatting.

A powerful new software platform is set to transform biomedical research by allowing scientists to conduct complex and customized data analyses without advanced programming skills. The web-based platform enables scientists to analyze and visualize their own data independently through an intuitive, interactive interface.

Applied physicists have created a photon router that could plug into quantum networks to create robust optical interfaces for noise-sensitive microwave quantum computers.

Researchers report their insights on the emerging field of complex frequencies excitations, a recently introduced scheme to control light, sound and other wave phenomena beyond conventional limits. Based on this approach, they outline opportunities that advance fundamental understanding of wave-matter interactions and usher wave-based technologies into a new era.

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers has programmed these infomorphic neurons and constructed artificial neural networks from them. The special feature is that the individual artificial neurons learn in a self-organized way and draw the necessary information from their immediate environment in the network.

Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive neuromorphic decoders in BCIs that can effectively co-evolve with changing brain signals.

Researchers have discovered a way to protect quantum information from environmental disruptions, offering hope for more reliable future technologies.