Articles tagged with Computer Networking
Five UTDallas faculty members received CAREER awards for research on resilient networks, next-generation electronics, software security and mathematical understanding of complex systems. Researchers aim to improve network resilience, develop new semiconductor technologies and advance mathematical understanding of complex systems.
Researchers successfully sent entangled photons through a 24.4-kilometer fiber-optic cable while carrying high-capacity internet traffic. The quantum signals remained intact, preserving entanglement with over 94% fidelity.
The Association for Computing Machinery announced three technical awards for innovations in global wireless standards, machine learning, and 3D generative AI. Erdal Arikan received the Paris Kanellakis Theory and Practice Award for his discovery of channel polarization and polar codes.
Researchers found that over half of projects in the popular OpenStack ecosystem are affected by shared instability from “flaky tests”, resulting in a cumulative loss of 1,156 days of developer time. The study identifies environmental and system-level factors as major causes of test instability.
Researchers from MIT have developed a more user-friendly and efficient method to identify potential system failures in cloud computing algorithms. The 'MetaEase' technique analyzes an algorithm's source code directly to uncover hidden blind spots that might cause unexpected failures, reducing the risk of costly network outages.
Researchers at Texas A&M University created HIPPO, a browser extension that generates unique passwords for each website without storing them. Participants preferred HIPPO over traditional password tools for ease and security, reporting higher satisfaction rates.
A new study published in JAMA Pediatrics suggests that excessive screen time may hinder children's language development. The research found a correlation between increased screen time and delays in vocabulary acquisition and communication skills.
Matei Zaharia's work on open-source systems like Apache Spark, Delta Lake, and MLflow has enabled large-scale machine learning, analytics, and AI at global scale. His innovations have made scalable computing accessible to researchers, nonprofits, and enterprises across every industry.
A new material, benzene-phosphonic acid (BPA), enables self-powered operation of smart sensors and wearables. The breakthrough technology reduces fabrication costs and promotes environmental sustainability.
Researchers say tech companies need to adopt user-centered approaches to create authentication systems that are secure by design. They call for more inclusive and consistent methods, avoiding one-size-fits-all models that burden users with complex security rules.
Researchers have developed a passive, solar-powered orbital data center that can scale AI computing and reduce environmental impact. The system leverages decades of research on 'tethers' and could host thousands of computing nodes to replicate terrestrial data centers.
Researchers develop Dual Perigee, a lightweight algorithm that streamlines network connections to enable secure and low-latency data sharing in IoT networks. The study reduces block-related delays by 48.54% compared to standard approaches.
The UC3M's new supercomputer is a state-of-the-art facility designed to support research and development projects requiring high-performance computing. The system features over 11,500 CPU cores and 42 GPUs, enabling the processing of large volumes of data and complex numerical simulations.
Scientists at Institute of Science Tokyo developed an automatic and adaptive LED-based optical wireless power transmission system that can efficiently power multiple devices without interruption. The system overcomes limitations of traditional OWPT systems by adapting to varying lighting conditions and ensuring stable power delivery.
The University of Houston has been redesignated by the NSA as a Center for Academic Excellence in Cyber Research (CAE-R) through 2029. This recognition underscores UH's growing role in advancing research and workforce training to strengthen US resilience against evolving cyber threats.
Researchers are developing training-free detection methods and novel countermeasures to protect sensitive information from emerging wireless eavesdropping techniques. By manipulating wireless channels, these defenses can obscure or distort signal patterns that attackers rely on.
A randomized clinical trial found that an unsupervised online Tai Chi intervention improved knee pain and function compared to the control group at 12 weeks. This free web-based intervention offers a safe, accessible, and scalable option for guideline-recommended osteoarthritis exercise.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Dr. Gerhard Andersson's pioneering work in internet-delivered cognitive behavioral therapy has produced over 200 controlled trials and transformed mental healthcare accessibility across continents.
The team's integrated chip coordinates quantum and classical data, speaks the same language as the modern web, and automatically corrects for noise. The approach paves the way for a future 'quantum internet,' which could enable advances like faster AI and new materials.
Researchers at Princeton University have developed a machine-learning system that can shape ultrahigh frequency transmissions to avoid obstacles, allowing for real-time adaptation in dynamic environments. This breakthrough could enable the widespread adoption of sub-terahertz frequencies for high-speed data transmission in applications...
Experts from across industries and disciplines gathered to assess the current state of cybersecurity through a multidisciplinary lens. The workshop explored emerging technologies and the intersection of technology and policy, highlighting the need for a unified ecosystem to address persistent challenges.
Maude-NPA's parallelization significantly reduces analysis time for complex cryptographic protocols. The new method improves runtime performance by an average of 52% and enables formal analysis of quantum-resistant TLS protocols.
Negative patient experiences in online health care facility reviews frequently revolve around poor communication and administrative issues. Positive reviews emphasize supportive staff interactions.
The team aims to deliver AI power directly to devices, improving resilience and speed in constrained environments. By processing data step-by-step across a network of devices, they can create a safe and adaptable system that can withstand attacks and extreme conditions.
The Hong Kong Polytechnic University has secured funding from the Research Grants Council to develop a cost-effective and sustainable collaborative Generative AI (Co-GenAI) model. The project aims to democratize AI development by reducing centralized computational demand and enabling broader participation in GenAI research and deployment.
A new design method, SPADE, evaluates UAV video surveillance system quality without real-world manipulations. It assesses the impact of image resolution on object detection performance., The SPADE method can be applied to various UAV systems and will aid in designing complex large-scale systems involving multiple UAVs.
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.
Fraunhofer Institute for Applied Solid State Physics launches first room-temperature quantum accelerator, enabling energy-efficient hybrid quantum-classical computing. The QB-QDK2.0 system uses synthetic diamond substrates and NV centers to create stable qubits for industrial applications.
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.
The University of Tennessee has been designated a National Center of Academic Excellence in Cybersecurity, marking a significant advancement in its cybersecurity programs. The designation will provide EECS students with access to federal grants, expanded funding opportunities, and connections to top-tier national networks.
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.
Purdue researchers create a new method to notify CPUs without polling, reducing interrupt overhead and improving efficiency. This discovery impacts cloud systems and large data centers, driving smooth operations throughout networks.
Researchers successfully simulated Google's 53-qubit Sycamore quantum circuit using sophisticated tensor network contraction techniques and advanced slicing methods. The approach reduced memory usage while maintaining computational effectiveness, enabling the simulation of complex quantum circuits with modest resources.
Researchers found that nearly 10% of compliant websites still run non-compliant ads, violating the Acceptable Ads Standard. Flaws in ad-filtering rules allow advertisers to bypass size and format restrictions, putting user privacy at risk.
A team of NYU computer scientists has developed a new blockchain system called Bounce that leverages satellites to ensure security, reduce energy consumption, and achieve low response times. Bounce processes over five million transactions per second, outperforming its nearest competitor by 30-100 times.
Torsten Hoefler's groundbreaking work on high-performance computing and AI has revolutionized the capabilities of supercomputers. His innovations include MPI-3 nonblocking collective operations, 3D parallelism, and routing protocols that power modern AI systems.
A team led by Dr. Marcus Botacin is creating a large language model (LLM) to automatically identify malware and write rules to defend against it. The LLM will use signatures to complement human analysts' skills, identifying malware faster and more accurately.
Researchers from Virginia Tech have published a visionary paper on fusing wireless technologies and AI to create human-like common sense. The team aims to develop a network that can think, plan, and imagine like humans, enabling seamless merging of physical, virtual, and digital dimensions.
Researchers at the University of Gothenburg have made a breakthrough in developing a new low-cost computer using spintronics, which enables information transmission at room temperature. The study demonstrates the ability to control and synchronize spin waves in complex networks, paving the way for the next generation of Ising machines.
Daniel G. Graham, author of 'Ethical Hacking', has contributed expertise to the new edition of 'Metasploit: The Penetration Tester's Guide'. This comprehensive resource covers key topics such as penetration testing in cloud environments and advanced evasion techniques.
The MAMUT project aims to deliver a compact, lightweight, and energy-efficient terminal designed for use in static, mobile, and autonomous applications. The terminal will connect with multi-orbit satellites to provide high-speed internet access, enhancing global configurability and reducing costs.
Research advances higher-order networks to capture multi-agent interactions, enabling accurate modeling of biological, social, and physical systems. The Dirac-Bianconi operator provides a powerful generalization of the graph Laplacian, encoding local and global interactions across different topological dimensions.
The event will address questions on artificial intelligence's power to reshape finance, including personalized banking and risk assessment. Top fintech experts from the Federal Reserve Bank of Dallas and Coinbase Institute will participate in a panel discussion.
Researchers successfully linked two separate quantum processors to form a single, fully connected quantum computer using photonic network interface. This breakthrough enables computations to be distributed across the network, addressing quantum's scalability problem and paving the way for industry-disrupting quantum computers.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
Researchers from Stevens Institute of Technology found that low-cost disinformation attacks could disrupt urban transit networks, causing widespread chaos and economic harm. A single brief station closure can lead to cumulative delays of up to 16,441 minutes for impacted passengers.
Jefferson Lab is investing $3 million in 13 proof-of-principle projects to explore new ideas and technologies, including nuclear physics, particle accelerator science, and computational science. The LDRD program aims to foster creativity and exploration of cutting-edge research.
The National Center for Supercomputing Applications (NCSA) has received the Readers' Choice Award: Best HPC Collaboration and Editors' Choice: Best Use of HPC in Physical Sciences. This is the 14th consecutive year NCSA has been honored with an HPCwire award.
A deep learning AI model can identify pathology in images of animal and human tissue much faster and often more accurately than people, potentially revolutionizing disease-related research and medical diagnosis. The model was trained using images from past epigenetic studies and showed accuracy comparable to human experts.
Researchers at NCSA have presented a novel post-quantum cryptography network instrument to measure PQC adoption rates and ensure secure data safeguarding. The project's findings indicate that only OpenSSH and Google Chrome have successfully implemented PQC, achieving an initial adoption rate of 0.029%.
Researchers developed a novel neural network model to reconstruct 3D digital images of relief-type cultural heritage objects from old photos. The model improves the accuracy of depth estimation and soft-edge detection, enhancing the preservation of cultural heritage.
A team of researchers created PenGym, an effective and reliable realistic training framework for RL pentesting agents that enables actual actions on realistic hosts in network environments. This approach yields promising results compared to simulated environments.
The 11th Heidelberg Laureate Forum brought together top researchers to discuss climate change, AI differences between humans and machines. The event featured workshops, panels, and networking opportunities for future collaborations.
A Kennesaw State University researcher is developing secure AI models that not only protect personal information but also reduce energy use. Her goal is to create a federated learning system that overcomes specific vulnerabilities of current systems, improving data transmission security and confining AI training to individual devices.
Scalable telehealth mindfulness-based interventions show promise in treating chronic pain by improving function and reducing symptoms. The low-resource approach could accelerate the adoption of nonpharmacological pain treatment in healthcare systems.
Rice University professor Ashutosh Sabharwal leads a project to design and develop an open-access software-defined radio system for 6G wireless networking, imaging, and sensing. The system will support diverse bands and enable research communities to explore new directions in wireless technology.
Researchers developed a real-time stream-based data compression technology that automatically detects frequently occurring data patterns and compresses them to minimize data volume. This innovation enables high-speed, compact data compression modules in hardware without additional processors or memory.
A recent study at Rice University found that using synthetic data to train generative AI models can lead to negative consequences, including model collapse and reduced quality. As models become increasingly dependent on self-consuming loops, they may produce warped outputs lacking diversity or quality.
A new method called D-REC uses a digital twin to predict which data users will need, improving edge caching decisions. The digital twin takes real-time data from the wireless network and conducts simulations to make accurate predictions.