Research on computing hardware and its future. Covers quantum error-correction, cyber defense, novel materials, and AI frameworks.
Researchers at Pohang University of Science & Technology have developed a sensor technology called computer vision-based optical strain (CVOS) that enhances durability and streamlines fabrication processes. This breakthrough enables the precise recognition of intricate bodily motions through a single sensor.
Researchers at UCSF and UC Berkeley have developed a brain-computer interface (BCI) that allows a woman with severe paralysis from a brainstem stroke to speak through a digital avatar. The system can decode brain signals into text at nearly 80 words per minute, making it a vast improvement over commercially available technology.
A Cochrane review of 17 randomised controlled trials found that blue-light filtering spectacles may not reduce visual fatigue associated with computer use and do not improve sleep quality. The evidence is also unclear on their effects on retinal health.
Theoretical physicists at Los Alamos National Laboratory have developed a new quantum computing paradigm that uses natural quantum interactions to process real-world problems faster than classical computers. The approach eliminates many challenging requirements for quantum hardware.
A recent study found that employees tend to be less productive in the afternoons, especially on Fridays, with increased typing errors and reduced computer activity. Flexible work arrangements like hybrid work or a four-day week may help mitigate this decline in productivity.
A study published in Computer in Human Behavior found that people experience emotions and perceive intentions when viewing computer-generated artworks. Participants rated human-made art more positively than AI-generated art, even if they were told the latter was created by a person.
Researchers at Tohoku University have developed a new cipher system called SCARF, which enhances computer security by protecting against cache side-channel attacks. The innovative system offers exceptional performance and can complete randomization with only half the latency of existing techniques.
A new study highlights the key problem with how computer security guidelines are created, citing complexity and lack of prioritization as major issues. Researchers recommend curating information and using clear messaging to make guidelines more accessible and user-friendly.
Researchers have made breakthroughs in two areas of computing: improving current semiconductor technology and developing new neuromorphic devices that think like the human brain. These advancements aim to increase efficiency, power, and processing capabilities for future technological leaps.
Lero is recruiting 16 top international post-doctoral researchers for a €2.9 million fellowship program focusing on privacy, trust, inclusion and fairness in software expertise. The program will provide discipline-specific skills training and enhance career development.
A groundbreaking study using ArchCUT3-D software analyzes ancient rock engravings, uncovering unique techniques and production procedures. The research sheds light on the craftsmanship, artistic expression, and cultural context of ancient cultures.
A new study from the University of Copenhagen and Roskilde University found that computers malfunction between 11 and 20 percent of the time, wasting users' productivity. The researchers identify insufficient performance and lack of user-friendliness as the two biggest categories of problems.
Researchers from the University of Rochester have made an important step toward developing computers advanced enough to simulate complex natural phenomena at the quantum level. They developed a new chip-scale optical quantum simulation system that could help make such a system feasible, using photonics-based synthetic dimensions.
Optical memristors have the potential to transform high-bandwidth neuromorphic computing, machine learning hardware, and artificial intelligence. However, scalability is a significant challenge that needs to be addressed to unlock their full potential.
Researchers at USC Viterbi School of Engineering achieved a quantum speedup advantage in a bitstring guessing game, managing strings up to 26 bits long by suppressing errors. The study demonstrates that with proper error control, quantum computers can execute complete algorithms with better scaling, even in the NISQ era.
DragGAN enables non-professionals to perform complex image edits with AI support, adjusting pose, gaze direction, and viewing angle. The method uses Generative Adversarial Networks to generate new images, promising simplified post-processing for AI-generated content.
A new study reveals that defence lawyers struggle to access and review digital evidence, citing limitations in format, presentation, and availability. This can lead to missed information and increased risk of miscarriages of justice.
A nationwide VR research project is working to create diverse groups of participants to reflect real-world social dynamics. The Virtual Experience Research Accelerator (VERA) aims to provide researchers with access to large, reliable, and diverse groups for various VR research projects.
A new UH study reveals that third-grade girls are initially enthusiastic about coding and computer science, with equal interest and confidence as boys. However, by middle school age, negative stereotypes and a decrease in confidence among girls become prevalent, limiting their participation in these fields.
An AI developed at TU Wien has shown to suggest appropriate treatment steps in cases of blood poisoning, outperforming human decisions. The AI can examine time-varying patient conditions and calculate treatment strategies, increasing cure rates by up to 3%. However, legal aspects and liability need discussion.
Researchers demonstrate probabilistic computing's capabilities by simulating networks of stochastic nanodevices to solve specific NP problems. The simulations agree with theoretical solutions, indicating the potential for scaling up this approach.
The University of Central Florida has developed the Virtual Experience Research Accelerator (VERA), a large-scale system for extended reality human subjects research. This project aims to facilitate human subjects research and improve extended reality technologies, making them more inclusive for underrepresented groups.
A team of researchers from University of Missouri and University of Nebraska-Omaha are working on a three-year, $1.6 million grant to make open-source software tools more accessible and understandable to a wider range of people and tech companies. The project aims to identify what OSS projects are good to invest in for commercialization.
A new system called ViPER+ uses ultra-wideband technology to track workers' locations on job sites, enhancing safety by detecting violations of location-based policies. The system was tested in two construction zones with students playing the roles of workers and vehicles, demonstrating its accuracy in non-line of sight situations.
Researchers at Chalmers University have successfully used a quantum computer to calculate the intrinsic energy of small molecules, demonstrating a new method called Reference-State Error Mitigation. This breakthrough has the potential to advance the boundaries of chemical calculations and simulate complex chemical processes.
Researchers successfully applied reinforcement learning to protein design, creating proteins with improved antibody generation and accurate nano-structures. The approach may lead to more potent vaccines and novel applications in regenerative medicine.
Researchers found that primary school children spend more time on screens, exercise less, and eat unhealthy food during the holidays. Adding structure to their days with regular activities and limited screen time can encourage healthier behaviours.
Researchers propose a 'state space' approach to reframe farming planning questions, enabling analytics and machine learning to explore optimal crop combinations and simulate different scenarios. This framework allows farmers to design diverse agricultural landscapes based on natural ecosystems, increasing crop yield and sustainability.
Researchers at Argonne National Laboratory and University of Chicago developed a hybrid simulation process using IBM quantum computers to solve electronic structure problems. The new method uses classical processing to mitigate noise generated by the quantum computer, paving the way for future improvements.
Researchers developed a high-speed prediction model combining physical simulations and machine learning, achieving high accuracy without compromising computation time. The technology uses correspondence between input physical conditions and abstract data space handled by machine learning algorithms.
A recent project at KAUST has reported multifunctional logic gates that offer users a range of hardware security advantages, including tamper protection and watermarking. The gates use spintronic devices called magnetic tunnel junctions, which can be easily switchable and obscure their layout, making them hard to reverse engineer.
A team of researchers has developed a new human-in-the-loop system to improve the accuracy and interpretability of deep neural networks. The system uses an interactive one-click method for annotating images, reducing the co-occurrence bias inherent in training datasets.
Researchers at King Abdullah University of Science & Technology (KAUST) successfully integrated two-dimensional materials on silicon microchips, achieving high integration density, electronic performance, and yield. The resulting hybrid devices exhibit special electronic properties that enable low-power consumption artificial neural ne...
A new study found that repeated requests for personal data increase disclosure, despite unchanged concerns about privacy. Researchers suggest practical measures to reduce this effect and encourage mutually beneficial sharing.
A University of Central Florida professor led a study identifying six challenges humans must overcome to ensure reliable, safe, trustworthy, and compatible AI. The challenges include responsible design, privacy protection, and respectful interaction with human cognitive capacities.
Researchers utilize liquid crystal droplets to visualize electric field distribution within microelectrodes, revealing rotational and translational behaviors under applied voltage. The technique provides high spatial resolution and detection accuracy, enabling defect location analysis.
Researchers achieved optical switching of a light signal at attosecond speeds, exceeding data transfer speeds by 1 million times. This breakthrough enables the development of ultrafast optical electronics and could increase data processing speed in long-distance communications.
QUT researchers have solved a long-held geological conundrum about how diamonds formed in the deep roots of the earth's ancient continents. The study used computer modeling on an ancient rock sample to determine that diamonds are rare today and were always rare, challenging the existing explanation.
Researchers developed memristors based on halogenated perovskite nanocrystals for more powerful and energy-efficient computing. Inspired by the human brain's synapses, these components combine data storage and processing, reducing energy consumption.
The team has developed a coupled dipole method-based photonic dispersion solver (CDPDS) online, enabling fast computation and accessibility to general users. The CDPDS provides band dispersions and topological phases of one-dimensional and two-dimensional photonic crystals, making it suitable for rapid simulations and modeling.
Researchers developed novel memristors with halide perovskite nanocrystals, enabling complex calculations similar to brain processes. The new memristors are faster, more energy-efficient, and easier to manufacture than predecessors.
The UTSA ScooterLab will collect data on riders' mobility, context and environment to improve sustainable transportation solutions. The project aims to transform the way we think about micro-mobility.
A new process combining human evaluation and AI optimization produces better designs than fully automated systems or manual approaches. The 'Human-Informed Topology Optimization' method reduces material usage while maintaining strength, and can be applied to various scales and applications.
Researchers seek to develop algorithms providing meaningful explanations for AI decision-making, enabling higher human trust and adoption in fields like science. The project focuses on symbolic reasoning and estimating explanation accuracy, addressing the need for transparent AI systems.
A new screening tool developed by Cleveland Clinic researchers can effectively detect mild cognitive impairment, early Alzheimer's disease, and other related dementias in older adults. The tool has been shown to identify 90% of patients with mild cognitive impairment, offering a potential solution for early detection and prevention.
Researchers create lab-grown brain organoids as biological hardware to drive computing forward. These three-dimensional cultures can process information faster and more efficiently than current silicon computers.
A new cybersecurity framework uses digital twin technology, machine learning, and human expertise to detect cyberattacks in manufacturing processes. The framework analyzes continuous data streams from physical machines and their digital twins to identify irregularities and flag potential threats.
Researchers used machine-learning algorithms to design new light-emitting enzymes called luciferases that can efficiently recognize specific chemicals and emit light. This breakthrough could lead to custom enzymes for a wide range of applications in biotechnology, medicine, environmental remediation, and manufacturing.
Researchers developed a wireless communication system that enables quantum computers to send and receive data using high-speed terahertz waves, reducing power consumption and error-causing heat. The system uses a transceiver chip and tiny mirrors to transmit data wirelessly, making it suitable for large-scale quantum systems.
The NERVE Center has developed test methods and metrics for various robots, identifying limitations to improve systems. The center's success grew its research capabilities through partnerships with NIST and the U.S. Army.
A University of Kansas study analyzed over 1,000 AI-generated ads and found that they are only labeled as ads about half the time, often appealing to consumers in positive ways. The prevalence of AI in programmatic advertising raises concerns about consumer deception and the need for updated guidelines to require transparency.
Researchers have discovered a way to construct and control oxygen-deprived walls in nanoscopically thin materials, which can store data in multiple electronic dialects. These walls can retain their data states even when devices turn off, paving the way for next-gen electronics with enhanced memory capabilities.
The new automated method, called HybridFlow, uses large-scale aerial images to produce precise 3D models of cityscapes and landscapes. This technology has potential applications in natural disaster risk assessment and mitigation, enabling informed decision-making and evaluation of risk-mitigating factors.
The team developed a way to stack red, green, and blue light-emitting diodes to create vertical, multicolored pixels, enabling higher-resolution displays. This technique could enable fully immersive virtual reality experiences and improve digital screens' sharpness and resolution.
Researchers at the University of Rochester develop a new method to control electron spin in silicon quantum dots, paving the way for practical silicon-based quantum computers. The technique harnesses spin-valley coupling to manipulate qubits without oscillating magnetic fields.
Researchers have developed a novel way to measure a quantum device's accuracy by analyzing universal statistical patterns in the noise. This approach takes advantage of the way information is scrambled in quantum systems, allowing for more efficient error detection and verification.
A new Swedish quantum computer is being made available to the industry, accompanied by a test bed and a quantum helpdesk. The test bed will allow companies and researchers to solve problems using quantum technology at a significantly lower cost than existing commercial options.
Researchers at Aston University have created the world's first computer reconstruction of a virus, including its complete native genome. This breakthrough could lead to the development of targeted treatments to kill bacteria that are dangerous to humans, reducing the threat of antibiotic resistance.
Researchers developed a multimodal imaging-based tool, the active biopsy guidance system (ABGS), to improve oral cancer diagnosis. The ABGS provides clinically actionable direct visible guidance for biopsies, enhancing precision and potentially saving lives.
Physicists at MIT and Caltech developed a new benchmarking protocol to characterize the fidelity of quantum analog simulators, enabling high precision characterization. The protocol analyzes random fluctuations in atomic-scale systems, revealing universal patterns that can be used to gauge the accuracy of these devices.