Communication & Information

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.

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit applications ranging from industrial inspection and medical imaging to virtual reality and cultural heritage preservation.

Electrical and computer engineers have developed a 'Super-Turing AI,' which operates more like the human brain. This new AI integrates certain processes instead of separating them and then migrating huge amounts of data like current systems do.

The study of elementary particles and forces is of central importance to our understanding of the universe. Now a team of physicists shows how an unconventional type of quantum computer opens a new door to the world of elementary particles.

To get around the constraints of quantum physics, researchers have built a new acoustic system to study the way the minuscule atoms of condensed matter talk together. They hope to one day build an acoustic version of a quantum computer.

Scientists investigated whether email interventions informed by behavioral science could help teachers help students learn math.

Researchers developed a scalable interconnect that facilitates all-to-all communication among many quantum processor modules by enabling each to send and receive quantum information on demand in a user-specified direction. They used the interconnect to demonstrate remote entanglement, a type of correlation that is key to creating a powerful, distributed network of quantum processors.

Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. The tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image.

Memristors consume extremely little power and behave similarly to brain cells. Researchers have now introduced novel memristive that offer significant advantages: they are more robust, function across a wider voltage range, and can operate in both analog and digital modes. Their unique properties could help address the problem of 'catastrophic forgetting,' where artificial neural networks abruptly forget previously learned information.

Scientists recently unveiled a first-of-its-kind authentication protocol for wireless, battery-free, ultraminiaturized implants that ensures these devices remain protected while still allowing emergency access.

Sensors attached to animals gather valuable data to track and mitigate the human influence on marine life. The review paper emphasizes the importance of integrating data from various sources and advocates for an 'Internet of Animals' based on open access and shared standards.

Scientists have successfully established the world's longest intercontinental ultra-secure quantum satellite link, spanning 12,900 km. Using the Chinese quantum microsatellite Jinan-1, launched into low Earth orbit, this milestone marks the first-ever quantum satellite communication link established in the Southern Hemisphere.

An openly available generative AI tool can interpret millions of cells in human tissues in hours, revealing new insights and allowing researchers and clinicians to ask questions about conditions such as cancer.

Virginia Tech researchers say a true revolution in wireless technologies is only possible through endowing the system with the next generation of artificial intelligence (AI) that can think, imagine, and plan akin to humans. Doing so will allow networks to break free from traditional enablers, deliver unprecedented quality, and usher in a new phase of the AI evolution.

Digital voice recordings contain valuable information that can indicate an individual's cognitive health, offering a non-invasive and efficient method for assessment. Research has demonstrated that digital voice measures can detect early signs of cognitive decline by analyzing features such as speech rate, articulation, pitch variation and pauses, which may signal cognitive impairment when deviating from normative patterns. However, voice data introduces privacy challenges due to the personally identifiable information embedded in recordings, such as gender, accent and emotional state, as well as more subtle speech characteristics that can uniquely identify individuals. These risks are amplified when voice data is processed by automated systems, raising concerns about re-identification and potential misuse of data.

With today's data rates of only a few hundred megabytes per second, access to digital information remains relatively slow. Initial experiments have already shown a promising new strategy: Magnetic states can be read out by short current pulses, whereby recently discovered spintronic effects in purpose-built material systems could remove previous speed restrictions. Researchers are now providing proof of the feasibility of such ultrafast data sources. Instead of electrical pulses, they use ultrashort terahertz light pulses, thereby enabling the read-out of magnetic structures within picoseconds.

Physicists have created a new computer code that could speed up the design of the complicated magnets that shape the plasma in stellarators, making the systems simpler and more affordable to build.

Researchers have announced the creation of the first operating system designed for quantum networks: QNodeOS. The research marks a major step forward in transforming quantum networking from a theoretical concept to a practical technology that could revolutionize the future of the internet.

Scientists have developed a compact optical amplifier based on a photonic chip that vastly outperforms traditional optical amplifiers in both bandwidth and efficiency. This breakthrough could reshape data center interconnects, AI accelerators, and high-performance computing.

Researchers have enabled a man who is paralyzed to control a robotic arm through a device that relays signals from his brain to a computer. He was able to grasp, move and drop objects just by imagining himself performing the actions.

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.

Researchers have created washable and durable magnetic field sensing electronic textiles -- thought to be the first of their kind -- which they say paves the way to transform use in clothing. This technology will allow users to interact with everyday textiles or specialized clothing by simply pointing their finger above a sensor.

Scientists have developed a biorobotic arm that can mirror human tremors, such as those experienced by individuals that live with Parkinson's disease. Artificial muscles on either side of the forearm contract and relax to suppress the involuntary shaking of the wrist and hand. The researchers see their biorobotic arm not only as a platform for other scientists in the field to test new ideas in exoskeleton technology. The arm also serves as a test bed to see how well artificial muscles known as HASELs can one day become the building blocks of wearable devices. The vision is to one day develop a sleeve that tremor patients can comfortably wear to be able to better cope with everyday tasks such as holding a cup.

Soilless growing systems inside greenhouses, known as controlled environment agriculture, promise to advance the year-round production of high-quality specialty crops, according to an interdisciplinary research team. But to be competitive and sustainable, this advanced farming method will require the development and implementation of precision agriculture techniques. To meet that demand, the team developed an automated crop-monitoring system capable of providing continuous and frequent data about plant growth and needs, allowing for informed crop management.

Researchers have demonstrated that multicolored stickers applied to stop or speed limit signs on the roadside can 'confuse' self-driving vehicles, causing unpredictable and possibly hazardous operations.

Researchers have created a system to help beekeepers monitor and analyze the health of their beehives and take corrective actions to prevent colony collapse -- when a majority of the worker bees abandon the colony and its queen. Beehives use thermoregulation to ensure the hive temperature stays between 33 and 36 degrees Celsius, about 91 to 97 degrees Fahrenheit. For example, bees might cluster to create insulation when it's cold or fan their wings when it's hot. But when beehives experience external stressors, such as pesticides or unexpected weather events, they lose the ability to regulate the hive temperature.

A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired system mimics human peripheral vision to achieve unprecedented speed and robustness in dynamic perception environments.

A research team has developed a way for self-driving vehicles to share their knowledge about road conditions indirectly, making it possible for each vehicle to learn from the experiences of others even when they rarely meet on the road.

Scientists demonstrate a new quantum chip architecture for suppressing errors using a type of qubit known as a cat qubit.

A multi-institutional research team has clarified the energy levels of color centers at the SiO2/SiC interface, paving the way toward the development of scalable quantum technologies that use them as single-photon emitters.

A research team demonstrated the 'world's smallest shooting game,' a unique nanoscale game inspired by classic arcade games. This achievement was made possible by real-time control of the force fields between nanoparticles using focused electron beams. This research has practical applications, as the manipulation of nanoscale objects could revolutionize biomedical engineering and nanotechnology.

A recent study shows that computer algorithms can be used to find molecules that can be developed into anti-inflammatory drugs. In the article, the researchers also describe how the same strategy can be used to search through 10 sextillion alternatives to identify the best drug candidate.

A low-energy challenger to the quantum computer also works at room temperature. The researchers have shown that information can be transmitted using magnetic wave motion in complex networks.

A team of scientists has now created a computer model that can represent and generate human-like goals by learning from how people create games. The work could lead to AI systems that better understand human intentions and more faithfully model and align with our goals. It may also lead to AI systems that can help us design more human-like games.

Researchers use rare-earth ions to achieve the first-ever demonstration of entanglement multiplexing between individual memory qubits in a quantum network.

How does a tennis player like Carlos Alcaraz decide where to run to return Novak Djokovic's ball by just looking at the ball's initial position? These behaviours, so common in elite athletes, are difficult to explain with current computational models, which assume that the players must continuously follow the ball with their eyes. Now, researchers have developed a model that, by combining optical variables with environmental factors such as gravity, accurately predicts how a person will move to catch a moving object just from an initial glance. These results could have potential applications in fields such as robotics, sports training or even space exploration.

Researchers detail advances in the measurement of quantum devices that will be needed to realize a topological quantum computer. In an announcement, the team describes the operation of a device that is a necessary building block for a topological quantum computer. The published results are an important milestone along the path to construction of quantum computers that are potentially more robust and powerful than existing technologies.

Most AI diagnostic tools are black boxes, but the approach allows doctors and patients to understand how the computer reached a diagnosis.

In a leap forward for quantum computing, physicists unveiled an eight-qubit topological quantum processor, the first of its kind. The chip, built as a proof-of-concept for the scientists' design, opens the door to the development of the long-awaited topological quantum computer.

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.

A new study of more than 1400 adults who gamble and play online video games has found loot box buying is associated with real-world gambling, video gaming addiction, and other mental health issues. The international research brings new insights into the loot box phenomenon -- the virtual items offered in video games to give players random rewards including weapons, cosmetics or 'skins.'

Researchers have unveiled a transformative framework for understanding complex systems. This pioneering study establishes the new field of higher-order topological dynamics, revealing how the hidden geometry of networks shapes everything from brain activity to the climate and artificial intelligence (AI).

Using a novel surface-sensitive spectroscopy method, scientists explored atomic vibrations in crystalline material surfaces near interfaces. The findings illuminate quantum behaviors that play important roles computing and sensing technologies.

Researchers have explored a 'quantum-inspired' technique to make the 'ones' and 'zeroes' for classical computer memory applications out of crystal defects, each the size of an individual atom. This turns milimeter-sized crystals into computer memory devices capable of storing terabytes of data. This interdisciplinary revolution in computer memory took its inspiration from the radiation dosimeters worn by hospital employees working with X-ray machines.

Qubits -- the fundamental units of quantum information -- drive entire tech sectors. Among them, superconducting qubits could be instrumental in building a large-scale quantum computer, but they rely on electrical signals and are difficult to scale. In a breakthrough, a team of physicists has achieved a fully optical readout of superconducting qubits, pushing the technology beyond its current limitations.

Researchers have developed an artificial intelligence (AI) tool that will help predict endangered whale habitat, guiding ships along the Atlantic coast to avoid them. The tool is designed to prevent deadly accidents and inform conservation strategies and responsible ocean development.