Articles tagged with Computers
A Cochrane review found that virtual reality (VR) can help stroke survivors regain arm movement and increase therapy time. VR may also improve balance and reduce activity limitations, but effects on mobility and quality of life are uncertain.
Researchers at Texas A&M University found that websites use browser fingerprinting to track people across browser sessions and sites. Even users who opt out of tracking under privacy laws may still be silently tracked through fingerprinting.
Researchers at Penn State have successfully developed a computer capable of simple operations using two-dimensional (2D) materials, bypassing the need for silicon. The 2D CMOS computer operates at low-supply voltages with minimal power consumption and can perform simple logic operations.
The new minor will equip students with cutting-edge AI and machine learning skills essential for modern business leadership. It combines hands-on experience with practical applications of artificial intelligence in business settings.
The new Jean Zay supercomputer in France has increased its AI dedicated resources fourfold to 125.9 petaflops, offering free access for thousands of research projects and start-ups. The upgraded machine is expected to accelerate French and European power in artificial intelligence.
Skia identifies and decodes shadow branches, storing them in a memory area to alleviate bottlenecks and improve throughput. The technique can lead to quicker performance and less power consumption for data centers.
Researchers at Pohang University of Science & Technology (POSTECH) have developed an achromatic metagrating that handles all colors in a single glass layer, eliminating the need for multiple layers. This breakthrough enables vivid full-color images using a 500-µm-thick single-layer waveguide.
A study by University of East Anglia compared 145 real student essays with 145 ChatGPT-generated ones, finding that AI essays were coherent but lacked engagement markers like questions and personal commentary. This reflects the limitations of AI in replicating human writing's conversational nuance.
César A. Uribe, a Rice University professor, has received an NSF CAREER Award to develop mathematical tools for decentralized learning in AI and data science. His research aims to create more efficient networks of computers that can process massive amounts of data without relying on centralized coordination.
DSAPS achieves dual scalability by manipulating ∆ E blocks using two structures: a high-capacity structure for increasing spins and a high-precision structure for increasing interaction bit width. The system has shown promising results in solving complex COPs, with validation tests achieving over 99% accuracy.
Researchers develop a new approach to automatically guide large language models (LLMs) towards generating accurate, properly structured outputs for various programming languages and formats. This probabilistic approach boosts computational efficiency, enabling small LLMs to outperform larger models in generating accurate code.
Binghamton University is launching an Institute for AI and Society with $5 million in New York state funding, enabling researchers to tackle issues like online antisemitism and protecting power systems from malicious attacks. The institute will tap into the power of Empire AI, a consortium of public and private universities in New York.
A novel method generates binary class labels in highly imbalanced datasets, addressing the challenge of labeling severely imbalanced data. The approach outperformed traditional methods, providing a more efficient way to identify fraud while minimizing false positives.
Researchers at U-M and Stanford aim to create implantable brain computer interfaces to detect and interpret brain signals, enabling stroke victims to communicate more effectively. The devices will use tiny carbon-based electrodes to record signals from the brain's temporal region and transmit them wirelessly.
The team fabricated a probabilistic bit device based on manganite nanowires, achieving full control of its probabilistic characteristics with nanoampere-level currents. This p-bit exhibited exceptional computational potential in Bayesian inference tasks, outperforming existing similar probabilistic bits.
A collaborative research team has developed a novel mixed reality (MR) technology that uses real-world doors as natural transition points. The system allows users to select a door within their MR interface and seamlessly transition into a virtual space, creating an unprecedented sense of immersion.
SeamFit's innovative use of flexible conductive threads and machine-learning algorithms accurately detects movements and counts reps during various exercises. This wearable technology promotes practicality in exercise tracking, potentially enhancing human-AI interaction by monitoring daily activities.
Researchers at Concordia University have developed a new approach to identifying fake news on social media using the SmoothDetector model. The model integrates probabilistic algorithms with deep neural networks to capture uncertainties and patterns in multimodal data, providing more nuanced judgments of authenticity.
Researchers will use sensors and software to predict AM part lifespan, enabling cost savings and extending part life. The project aims to improve Darwin software to provide detailed insights into manufacturing processes.
Cleveland Clinic researchers successfully tested quantum computing's ability to simulate proton affinity, a fundamental chemical process critical to life. The study used machine learning applications on quantum hardware, achieving higher accuracy than classical computing in predicting proton affinity.
A study from the University of California, Riverside, found that a smartphone app can subtly reshape a person's self-image at work. The app, called MindTAPP, uses associative conditioning to pair users with positive affirmations, leading to more favorable views of their workplace abilities and a heightened sense of self-efficacy.
Daily electronic screen use is associated with approximately 50 minutes less sleep per week and later bedtimes in adults. The findings suggest that these disruptions are not limited to children and adolescents, particularly among those with evening chronotypes.
Researchers developed a method to detect and protect quantum entanglement, a fundamental aspect of quantum computing. The variational entanglement witness (VEW) algorithm optimizes entanglement detection accuracy, differentiating between separable and entangled states.
A new approach to AI developed by Texas A&M University engineers mimics the human brain's neural processes, integrating learning and memory in a single system. This 'Super-Turing AI' has the potential to revolutionize the industry by reducing energy consumption and environmental impact.
Researchers at UC San Francisco have enabled a paralyzed man to control a robotic arm through a device that relays signals from his brain to a computer. The device, known as a brain-computer interface (BCI), worked for a record 7 months without needing to be adjusted.
Researchers at Lancaster University are developing high-performance memory devices using self-assembled molecular technology to overcome the von Neumann bottleneck in computing. The Memristive Organometallic Devices (MemOD) project aims to deliver faster, more stable, and energy-efficient AI hardware.
Scientists at Nagoya University developed a nanoscale video game that manipulates nanoparticles in real-time, enabling interaction between virtual and physical objects. The 'nano-mixed reality' system has potential applications in nanotechnology and biomedical engineering, including 3D printing and targeted virus killing.
Researchers developed ItpCtrl-AI, a transparent AI framework that reads chest X-rays like a radiologist, providing accurate diagnoses and increasing trust in medical technology. The framework uses a gaze heat map to show the computer where to search for abnormalities and what section of the image requires less attention.
Researchers have developed microcomb technology to miniaturize optical atomic clock systems, offering significant benefits for navigation, autonomous vehicles, and geo-data monitoring. The new system uses integrated photonics to integrate optical components on tiny photonic chips, reducing size and weight.
A groundbreaking study analyzed data from over 78,000 cancer patients to identify nearly 800 genetic changes impacting survival outcomes. The research also discovered genes significantly associated with survival in various cancers, such as breast, ovarian, skin, and gastrointestinal cancers.
Researchers found that students' beliefs in their ability to succeed, view of the course's importance, and perception of its emotional cost predict final course grades. Instructors can improve student motivation by emphasizing course importance, reducing frustration, and making content more interesting.
Researchers at King's College London have developed a complex model of molecular 'wear-and-tear' that sheds light on how proteins age. The study found that chromatin, the DNA-protein mix, is more resilient to aging than previously thought, suggesting new avenues for anti-aging treatments.
A team of researchers from Mainz University successfully simulated skyrmion dynamics on real-time experimental scales using a novel collaborative approach. By combining theoretical and experimental methods, the researchers were able to accelerate the development of skyrmion-based applications for energy-saving computer architectures.
A recent study explores how edge computing can transform Gaming as a Service by significantly improving performance, particularly on mobile devices. By processing user data on nearby servers, latency is reduced, resulting in a faster and smoother experience.
Chalmers University researchers develop new ways to make cache memory work smarter, enabling faster data retrieval and improving computer performance. The innovation is part of the European Processor Initiative aimed at securing European independence in high-performance computing chips.
Anil Jain and Michael I. Jordan received the BBVA Foundation Award in Information and Communication Technologies for their pioneering work on machine learning, enabling transformative technologies like biometrics and artificial intelligence. Their research has unlocked applications of far-reaching impact on society.
Researchers developed a groundbreaking photonic platform to overcome limitations in in-memory computing, enabling faster calculations and greater efficiency. The innovative magneto-optical memories consume about one-tenth the power of traditional electronics and can be rewritten billions of times.
The partnership establishes Ohio's first specialized degree programs and research experiences in quantum computing, cultivating scientific and entrepreneurial talent. Miami University and Cleveland Clinic will accelerate the leading-edge power of quantum computing to shape the future of healthcare and technology.
A team of scientists has developed a novel quantum refrigerator method that cools superconducting qubits to 22 millikelvins, erasing quantum computer's chalkboard and reducing errors. This approach uses heat flowing between two parts of the refrigerator to power the eraser.
Researchers at Chalmers University of Technology and University of Maryland have engineered a new type of refrigerator that can autonomously cool superconducting qubits to record-low temperatures. This breakthrough paves the way for more reliable and error-free quantum computations.
Researchers are developing new ways to harvest and adapt energy from everyday home activities, such as turning a doorknob or opening a fridge door. This technology aims to create smart interfaces that can power appliances and assist people with disabilities, increasing energy efficiency and accessibility.
A new study suggests that excessive screen time can lead to reduced sleep quality in preschool-age children, worsening behavioral problems such as poor attention and emotional symptoms. The research also found a correlation between screen time and decreased sleep quality.
Researchers have developed a fast and rewritable DNA computing method that uses DNA origami registers to process digital files. This method has the potential to be more powerful than current silicon-based machines.
A new study by Lancaster University reveals that language in job ads can unintentionally reinforce or disrupt labour force gender/racial composition. Workforces with more women tend to use family-friendly policies in ads, while racial minority workers' ads lack impact, the research shows.
Researchers developed a heat-tolerant memory device that can store and rewrite information at temperatures over 1100°F, comparable to the surface of Venus and the melting temperature of lead. The device uses oxygen ions instead of electrons, allowing for precise control of voltage states and potential in-memory computing applications.
A study found that individuals with higher emotional intelligence and secure attachment styles tend to use emojis more frequently, while those with avoidant attachment styles send fewer emojis. The study also revealed a gender gap in emoji use, with women using emojis more than men, particularly in interactions with friends and family.
Physicists at the University of the Witwatersrand developed an innovative computing system harnessing laser beams and display technology to process multiple possibilities simultaneously. This approach could speed up complex calculations in fields like logistics and finance, with potential applications in quantum optimisation and machin...
A recent Stanford University study has identified 33 current faculty members from Binghamton University as among the top 2% of all researchers worldwide in their fields. The researchers were ranked based on their career-long or single-year output and citation metrics, indicating their significant impact on their respective fields.
A team of computer scientists has developed an interactive AI tool that transforms static physics textbook diagrams into 3D simulations, allowing students to visualize complex concepts like momentum and electrical currents in action.
Researchers have developed a reconfigurable three-dimensional integrated photonic processor specifically designed to tackle the subset sum problem, a classic NP-complete challenge. The processor operates by allowing photons in a light beam to explore all possible paths simultaneously, providing answers in parallel and demonstrating hig...
The US Department of Energy has awarded $975,000 to researchers at the University of Arkansas to study aluminum scandium nitride, a ferroelectric material that could be integrated into existing silicon computing platforms. This research aims to create faster computers with lower energy consumption.
A new vehicle allocation strategy for dockless bike-sharing systems at night can improve the balance of urban transportation and reduce traffic congestion. The approach uses a three-way classification method and behavioral decision theory to forecast demand and optimize resource allocation, reducing waste and enhancing system efficiency.
A federal broadband subsidy program boosted high-speed internet to remote and rural areas, but once funding ended, much of the service faded. The study found that only about half of the sampled addresses certified as served were actually being provided by ISPs, highlighting the need for independent evaluations.
A PSU English professor is using a grant from the National Science Foundation to study one of the world's fastest and largest supercomputers, Aurora. The research aims to answer questions about how supercomputers work, their applications in science and industry, and their impact on the US's position in scientific advancement.
Researchers aim to advance training methodologies for superintelligent systems, ensuring they learn from imperfect and evolving data. The project seeks to develop new techniques to improve AI reliability, reduce biases, and increase accuracy.
Researchers at University of Michigan developed a flexible screen that can store and display encrypted images using magnetic fields. The screen uses magnetic fields to display images with high contrast, making it suitable for various applications such as clothing, stickers, ID badges, and e-book readers.
A team of researchers at Pusan National University developed a pricing formula for perpetual American strangle options (PASOs) using a stochastic volatility model. The formula is accurate and provides a better understanding of the risks and returns associated with PASOs, especially in low-volatility environments.
A team of researchers discovered a class of materials that mimic the behavior of axons by spontaneously amplifying electrical pulses. These materials can harness internal instabilities to create spiking behavior and amplify signals, potentially leading to more efficient computing and artificial intelligence.
Researchers at Indian Institute of Science develop a neuromorphic platform that stores and processes data in 16,500 conductance states, cutting energy consumption by a huge margin. This breakthrough could enable complex AI tasks on personal devices, transforming the development of AI tools.
Researchers found that sustained neck exertions alter the cervical spine's curvature, leading to muscle fatigue and increased risk of neck pain. The study provides new insights into the mechanical changes that occur in the spine and muscles when performing repetitive tasks.