Researchers at Fraunhofer IAF have developed a monolithic microwave integrated circuit (MMIC) with a gain of 11 ± 2 dB in the frequency range between 4 and 420 GHz. The MMIC achieves low noise and high output power, making it suitable for high-bandwidth applications such as optical data transmission.
A new AI approach helps distinguish genuine SSD failures from false failure reports in large-scale data centers, improving reliability and efficiency. The model achieved an F1 score of 0.717 under a 40% false-failure rate, outperforming conventional models.
Researchers developed an AI model that predicts wireless conditions and adjusts transmission settings to minimize data packet loss in 5G multicast broadcasting. The model achieved 87% error-free transmission setting success rate, reducing delay and improving access to broadcast services for underserved areas.
A new probabilistic method, Bayesian Probabilistic Data Association via Gaussian Mixture Models, improves trajectory accuracy and semantic mapping quality in robots. The approach reduces duplicate registrations and handles ambiguous observations, enabling more stable and reliable object-level maps.
Duke University has received a $24 million award to develop foundational science for engineering systems to counter unmanned aerial attacks. The center, led by Miroslav Pajic, brings together experts in wireless systems, cybersecurity, and AI to develop tools and automated procedures for detecting, thwarting, and controlling enemy drones.
Researchers developed a low-cost touch interface that recognizes finger movements and users, using a single-electrode design and triboelectric effects. The interface can be created by printing patterns onto a PVC sheet with a laser printer and can recognize complex inputs, including alphabet characters and user authentication.
Optical convolution computation enables parallel light propagation and multiplexing for faster and more energy-efficient computing systems. The review organizes the field into two paradigms: definition-based and theorem-based, which leverage mathematical principles to implement convolution operations in the physical domain.
A new smartphone app called Mobilio uses AI, machine learning, and personalized audio cues to provide turn-by-turn directions, path guidance, and obstacle avoidance for people with blindness or low vision. The app completed outdoor navigation tasks 13% faster and reduced obstacle contact by 41% compared to Google Maps and a white cane.
A new pre-rerouting strategy ensures seamless service continuity in LEO satellite networks by redefining routing metrics to account for link effective duration and available bandwidth. The strategy achieves a packet loss rate of 1% compared to 7% with conventional rerouting schemes.
Researchers developed a method to modify vehicle sounds using auditory augmented reality, which can draw pedestrian attention without loud warnings. By artificially increasing the frequency of approaching vehicle sounds, participants judged the vehicle as moving faster and closer.
Craig Meyer, a UVA professor of biomedical engineering and radiology, received the ISMRM Gold Medal for his pioneering work in advancing MRI technology. His research focuses on refining fast acquisition methods, including spiral-based approaches, to capture high-quality images in challenging conditions like imaging the lungs.
The awar...
Researchers at UCLA have demonstrated a way to integrate terahertz functions onto a single chip using quantum well structures, paving the way for compact and scalable systems. This breakthrough could enable practical and widespread use of terahertz technology in applications such as ultrafast wireless communication, security screening,...
Researchers unveiled a technique to build ultra-clean 2D heterostructures using muscovite crystals, eliminating microscopic residues that disrupt electronic device performance. This method enables precise stacking of atomic layers, leading to new properties and potential breakthroughs in quantum computing and nanoelectronics.
Researchers developed a photospike-based TRNG that harnesses unpredictable light-induced electrical charges to generate true random numbers. The device passed all 15 randomness tests and remained stable over millions of cycles, making it suitable for image authentication and deepfake detection.
Researchers at TU Wien have developed a new practical method to estimate the actual expected lifetime of electronic components using novel materials. This approach allows for reliable and rapid lifetime prediction, helping industry identify the right materials and manufacturing techniques more quickly and with greater confidence.
Researchers at Rice University develop a new way to model the cochlea's sound processing using graph signal processing, identifying broader functional relationships between sensory cells. The model, called GSP Cochlea, performs better in detecting signals in noise and may hold the key to personalized device settings for hearing aids.
Researchers developed a compact aperture-adjustable antenna that maintains strong performance across the 57–71 GHz 5G band and improves signal strength by up to 62.2% at both lower and upper-band-edge frequencies. The system achieves data transmission speeds of up to 56 Gb/s, supporting future Beyond 5G and 6G applications.
The University at Albany has received a $1.3 million award from the National Science Foundation (NSF) to establish an advanced wireless testbed, enabling researchers to develop next-generation technologies for wireless communications and sensing systems across a wide range of frequencies.
Researchers have developed soft, brain-inspired electronics that can sense, store, and process information while conforming to biological tissues. These devices mimic the chemical processing of the human brain, executing complex tasks like heart rhythm classification at ultra-low voltages.
Researchers have demonstrated a record-breaking 450 terabits per second optical transmission over a field-deployed legacy fiber in London, UK. The achievement uses new optical-amplifier technologies to support ultra-wideband signals, exceeding previous records and unlocking previously untapped capacity in standard optical fibers.
Javad Khazaei's research focuses on developing a novel geometry-based predictive control paradigm for distributed energy resources in power systems. By simplifying complex nonlinear systems using reduced-order modeling, his approach aims to slash data requirements and computational burden while maintaining accuracy. This work has promi...
A team of researchers at The University of Osaka has created a wireless EEG transmission system that can operate without external power sources. The system harnesses energy from the temperature difference between the human body and surrounding air, allowing it to function reliably even in hot summer conditions.
Researchers have developed SmartDJ, an AI-powered editor that allows users to reshape audio experiences with simple words. The system uses language models and diffusion models to interpret high-level requests and generate edited outputs.
Researchers at Saarland University have developed a new class of miniature actuators using ultrathin silicone film-based pumps. The pumps can operate without motors, compressed air, or lubricants and can be switched on and off as needed.
Researchers at Saarland University have developed energy-efficient geometries for elastocaloric cooling elements using 3D printing. The technology uses shape-memory alloys to release heat when stretched and absorb it when released, promising a cleaner alternative to traditional cooling methods.
A research team at Saarland University has developed an AI-assisted method to determine temperature distribution inside a running electric motor in real time, without additional hardware. The system uses motor-condition data extracted from electromagnetic fields and can detect thermal overload and optimize power regulation.
Researchers have discovered that lithium dendrites in batteries are unexpectedly strong and brittle, causing short circuits and safety risks. The findings suggest that future battery design must change to improve safety and reliability of high-energy storage systems.
Electrical engineers at Duke University have developed the fastest pyroelectric photodetector, capable of capturing light from the entire electromagnetic spectrum. The device requires no external power and operates at room temperature, making it suitable for on-chip applications and multispectral cameras.
A nanostructure composed of silver and an atomically thin semiconductor layer can be turned into an ultrafast switching mirror device, displaying properties of both light and matter. This discovery could lead to dramatically increased information transmission rates in optical data processing.
Engineers have developed a device that can generate surface acoustic wave phonon lasers, enabling the creation of sophisticated chips in cellphones and other wireless devices. This technology could lead to smaller, higher-performance, and lower-power wireless devices like cell phones.
A new hybrid wireless access network called PHWAN has been proposed to improve the performance of smart factories. The framework combines different wireless systems, including 5G, Wi-Fi, and low-power industrial networks, to adapt dynamically to the needs of different machines.
Researchers created an ultrathin hydrogel electrode that can track vital signals without interruption, overcoming previous dehydration, freezing, and mechanical fragility issues. The new material forms a flexible layer that can withstand extreme temperatures and retain water content over time.
A new smartphone-based system can accurately diagnose sleep apnea in stroke patients, identifying 67% of those with moderate to severe apnea. The portable tool uses sensors and digital biomarkers to monitor breathing, oxygenation, and body position during the night.
Mustafa Aksoy is leading a research team to develop machine-learning algorithms to detect and remove radio frequency interference from NOAA satellite measurements. The goal is to improve the accuracy of weather forecasts and climate monitoring by mitigating the impact of RFI.
Researchers at SwRI discovered a security vulnerability in the Signal Level Attenuation Characterization (SLAC) protocol used in electric vehicle-to-grid communications. The team successfully modeled and replicated a machine-in-the-middle attack that could manipulate or halt EV charging processes.
Researchers at Ritsumeikan University have discovered that the loss of TRPM1 ion channels sets off a cascade of changes leading to persistent oscillations in the retina. This finding illuminates the cellular basis of congenital stationary night blindness and identifies a common mechanism underlying retinal degenerative conditions.
Researchers developed a novel topology-aware multiscale feature fusion network to enhance EEG-based motor imagery decoding. The TA-MFF network achieves excellent classification performance, outperforming state-of-the-art methods by leveraging spectral-topological data analysis-processing and inter-spectral recursive attention.
Researchers from Chung-Ang University have developed a novel AI-based approach for producing high-fidelity and defect-aware ultrasonic images, outperforming traditional techniques. This technology has the potential to revolutionize non-destructive testing in industries such as semiconductors, energy, and automotive.
Researchers at Rice University have developed a new method to generate radio wave patterns that can identify signal direction with unprecedented accuracy, enabling rapid establishment of wireless links. This breakthrough enables high data-rate links to form almost as soon as the signal is sent.
A U-M-led team is working to minimize latency in virtual and augmented reality games for people with Parkinson's disease. They are developing two games: an adaptive soccer game and a word game that enables players to fight the progression of the disease through physical and cognitive exercise.
Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.
The US Naval Research Laboratory has installed a state-of-the-art cluster system for growing and analyzing quantum materials at the atomic level. This allows researchers to study materials one layer at a time, eliminating the need for sample transfer and reducing contamination risk.
A team of researchers at UC Santa Cruz developed a system using low-cost WiFi devices and machine learning algorithms to accurately measure heart rate. They found that the system worked regardless of body position or distance from the hardware, with high accuracy even after just five seconds of monitoring.
A team of researchers developed a scalable biological signal-processing framework that uses synthetic operational amplifiers to convert mixed cellular inputs into clean, orthogonal outputs. This enables precise, predictable control of complex biological systems, with applications in biomanufacturing and signal decomposition.
The new Harvard device can turn purely digital electronic inputs into analog optical signals at high speeds, addressing the bottleneck of computing and data interconnects. It has the potential to enable advances in microwave photonics and emerging optical computing approaches.
A team of researchers developed a new quantum framework for analysing higher-order network data using topological signal processing. The Quantum Topological Signal Processing (QTSP) framework achieves linear scaling in signal dimension, opening the door to efficient quantum algorithms for problems previously considered out of reach.
A research team has experimentally demonstrated a nonlinear wave phenomenon that changes its frequency depending on the direction of incoming waves. The system exhibits different responses to waves entering from one side versus the other, with potential applications in medical ultrasound imaging and noise control.
Researchers from Science Tokyo developed analog relay stations to extend mmWave coverage, achieving over 1 Gbps throughput and enhancing stability in previously unreachable zones. The innovative solution utilizes distributed relay diversity to maintain signal strength and throughput even with blockage.
Scientists have developed a method to extract insect heart rates from video footage taken with digital cameras, preserving their natural behavior. The technique uses advanced signal processing and machine learning algorithms to analyze subtle body movements and detect accurate cardiac activity.
Researchers develop smart planning systems to predict weld bead geometry and optimize deposition paths, reducing thermal stresses and defect rates. Innovations in real-time monitoring and auxiliary strategies improve material integrity and mechanical properties.
A study by NYU Abu Dhabi researchers has found a key mechanism that shapes brain development and how it may be disrupted in autism and schizophrenia. The research reveals the role of m6A methylation in regulating protein production in growing neurons.
A team of researchers from Japan has developed an ultra-compact, low-power 150 GHz radio module enabling high data rates in mobile devices. The proposed design integrates a phased-array transceiver with several key innovations to overcome the main challenges of operating at frequencies in the 150 GHz band.
A new world record has been set for petabit-class transmission over a distance of 1,808 km using a 19-core optical fiber with low loss across multiple wavelength bands. The demonstration marks a major step forward in developing scalable, high-capacity networks and addressing the world's growing demand for data.
Researchers developed an advanced detector system combining silicon and germanium detectors for high-efficiency charged-particle decay studies. The system achieved precise tracking of decay processes and efficient discrimination between particles, showcasing its potential for studying exotic nuclear structures.
The MyoStep project represents a significant advancement in pediatric mobility aids for children with cerebral palsy, addressing motor impairments that restrict participation in physical activities. The soft power suit provides a lightweight, discreet solution tailored to fit seamlessly into the lives of children and their families.
Researchers introduced an innovative ML model for classifying faults in SRF cavities, utilizing historical data and expert insights to enhance operational stability. The system achieved high accuracy and efficiency, facilitating long-term trend analysis and proactive maintenance strategies.
The study provides a new look at the galactic region surrounding our solar system, revealing a roughly uniform background Lyman alpha sky brightness. The findings suggest hot interstellar gas bubbles may be regions of enhanced hydrogen gas emissions at a wavelength called Lyman alpha.
Researchers at EPFL discovered that iron-rich hematite exhibits new spin physics, enabling signal processing at ultrahigh frequencies and allowing repeated encoding and storage of digital data. This breakthrough paves the way for a more efficient and sustainable approach to spintronics.
MIT engineers developed ultrathin electronic films that sense heat and other signals, reducing the bulk of conventional goggles and scopes. The new pyroelectric thin film is highly sensitive to heat and radiation across the far-infrared spectrum, enabling lighter, more portable night-vision eyewear.
The SETI Institute has launched the ARISE Lab program, providing hands-on training for community college instructors and students in astronomy, digital signal processing, and radio science. The program combines real-time radio telescope data with experiential learning techniques to spark curiosity and build skills.