Articles tagged with Software
Dr. Mark DeCoster's team will use NSF funding to develop artificial cell technology paired with educational software for hands-on experiments and visualization tools for students. The goal is to benefit both basic research and industry applications while generating income and jobs in the region.
The NIST 'erccdashboard' tool evaluates experimental methods used to study gene expression, ensuring reproducibility and reliability. The dashboard provides a standardized approach for analyzing gene expression data, allowing researchers to assess technical performance and prevent erroneous conclusions.
Georgia Tech researcher Mark Riedl develops Lovelace 2.0 Test to evaluate artificial intelligence's human-level creativity, moving beyond the limitations of the Turing Test. The new test requires agents to create artifacts that demonstrate a range of human-like intelligent capabilities.
The Disney Research library contains over 50 'feel effects,' including rain, a walking cat, and a beating heart. Novice users can create and share their own haptic effects using the FeelCraft software.
Researchers at Sentient Science and University at Buffalo develop wearable technology to measure stress, fatigue, and resilience. The system sends personalized alerts to prevent heart attacks and physical injuries.
Researchers are developing AI-powered software to automatically outline bones in X-ray images, a system that can already identify hips and will now be adapted to map out knees and hands. The goal is to reduce the workload of human researchers and enable faster diagnosis for patients with conditions like arthritis.
Researchers have developed a self-repairing software called A3 that detects and eradicates malware, repairing damage and preventing re-infection. The software can repair complex security vulnerabilities in minutes without taking servers down.
Researchers at the University of Maryland's Supply Chain Management Center have developed a user-ready online portal to help companies sense and respond to cyber supply chain risks. The portal combines cybersecurity, enterprise risk management, and supply chain management to provide benchmarking and anonymous industry peer comparison.
Researchers at North Carolina State University have developed a new software that estimates the range of electric vehicles by analyzing traffic data, weather, road grade and other variables. The tool uses a predictive, big-data approach to reduce range estimation error to a couple of miles and achieve 95% accuracy in some case studies.
Daphne Yao aims to provide trustworthy data and infrastructure for military networks, detecting abnormal action sequences and workflows. Her research has shown promising results, enabling a leap forward in Army command and control of cyberspace capabilities.
Researchers at Montana State University provided the first blueprint of a bacterium's molecular machinery, showing how bacterial immune systems fight off viruses. By understanding CRISPR mechanisms, scientists can potentially develop therapies for plant, animal, and human diseases.
Researchers developed AI software that predicts player goals in video games with 62.3% accuracy, outperforming previous technology. The software uses deep learning to analyze large collections of game data and improve its accuracy over time.
Researchers have developed a non-invasive technology that uses video monitoring to detect atrial fibrillation by analyzing subtle changes in skin color. The technology has an error rate of 20%, comparable to automated ECG measurements, and holds promise for diagnosing cardiac disease using contactless video monitoring.
Researchers at the University of Missouri have developed a software program that analyzes event-based tweets and measures context, providing qualitative information about tweets. The program helps Twitter analysts gain better insight into human behavior during trends and events.
The EuropeanPioneers programme supports 25 startups and SMEs in EU with 4.5 million Euros, targeting Smart City Services, Social Connected TV, Pervasive Gaming, and E-Learning.
Researchers at TUM developed TCP Stealth, a free software that inhibits identification of systems through Hacienda and similar cyberattack software. The software uses secret tokens to protect against remote control of servers worldwide.
Researchers develop AI-powered system to score Wikipedia entries based on quality, outperforming human users. The algorithm uses Bayesian statistics and multivariate Gaussian distribution modeling to analyze content and rank articles accordingly.
Researchers developed software to identify cancer cells in tissue sections and detect specific biomarkers. The tool reduces inter-observer variability, leading to more accurate diagnoses and suitable treatment options.
Researchers propose an architecture-centric method, ABC, to unify software development phases and control high-level structural complexity. The method realizes consistent, flexible, and systematic modeling and control of software complexity across the whole lifecycle.
Researchers at Vanderbilt University are developing tools to identify and counter cyber attacks on smart transportation systems, which could mitigate the impact of a potential 'Carmageddon' attack. The goal is to create algorithms that can automatically detect intrusions and take effective steps to counteract them.
Researchers from Virginia Tech have developed a new security approach that detects stealthy malware in advance. By analyzing causal relations among computer network events, the system can effectively isolate infected hosts and prevent attacks.
Researchers are working on finding elusive answers about Alzheimer's disease development. By leveraging computers and harnessing idle capacity, the project aims to accelerate research and uncover clues that could lead to a cure.
Research conducted at Massachusetts General Hospital found that iterative reconstruction techniques enabled a 50% reduction in radiation dose for abdominal CT exams. This technology simplifies quality and safety assurance in busy practices with diverse CT equipment and remote scanner locations.
Researchers at Michigan Technological University have developed software to design lab-on-a-chip hardware, enabling the simultaneous testing of dozens of medical conditions with a single drop of blood. The technology could revolutionize medical diagnostics by providing fast and accurate results miles from the nearest clinic.
A study by North Carolina State University and Microsoft Research found that game developers value communication, teamwork, and creative skills. The research highlights the importance of including non-programmers in computer science projects and developing interpersonal communication skills.
Researchers develop software to identify patients at risk of bleeding from stroke treatment, which could help doctors make more accurate assessments and treat more patients. The program uses pattern recognition software similar to airport security to analyze brain scans and predict the likelihood of bleeding with high accuracy.
Researchers found that people are 7% better at finding targets in the upper half of the screen compared to the lower half. This discovery could improve safety-related technologies like traffic signs and website user interfaces.
Researchers at Fraunhofer IGD have developed a real-time simulation software that allows designers to create clothes in seconds, incorporating changes quickly and frequently. The technology is set to revolutionize the fashion industry by making virtualization a precondition for clothing production of tomorrow.
Researchers at Virginia Tech and MIT have developed a computer-aided design tool called GenoCAD to create genetic languages for designing biological systems. The tool helps capture biological rules to engineer organisms that produce useful products or healthcare solutions from inexpensive materials. GenoCAD enables the standardization ...
Researchers unveil SpectralFinder, a software that can record and analyze hyperspectral data in real-time on a mobile platform. The technology differentiates materials based on unique color spectra, enabling applications such as environmental monitoring and quality control.
Researchers at Saarland University have developed software to detect malicious apps in app stores, identifying potential security threats. The software analyzes code access patterns to flag suspicious behavior, with over 3,000 apps already tested.
Researchers at Fraunhofer Institute for Secure Information Technology SIT showcase security tools to protect manufacturing data from unauthorized access. The software application encrypts data as it emerges, ensuring only licensed actions are executed.
Researchers created XML3DRepo, a service that enables the standardization of complex 3D data through a web browser. This technology makes it possible to visualize and administer 3D models in an easy-to-understand format for project partners, investors, and the public.
Researchers from Saarland University have developed a method to capture actors' movements and transfer them to virtual characters in near real-time. This technology allows for more efficient and user-friendly motion capturing, enabling the creation of animated characters outdoors without markers.
A novel platform connects engineers in their offices with production locations, enabling real-time video transmission and interactive 3D model views. This approach facilitates remote maintenance by showing operators multiple views of the machine on screen.
The NASA Wallops Flight Facility successfully deployed a record-breaking 29 small satellites into orbit, also testing a new autonomous flight safety system that promises to eliminate expensive down-range tracking and command infrastructure. The system's first certification test was deemed 'positive' with initial data indicating it sent...
A new method called Chabada analyzes app store descriptions to detect suspicious behavior, identifying 56% of existing spy apps. The approach clusters apps by related topics and detects unusual data access patterns, serving as a potential gatekeeper for app stores.
A professor at Georgia Institute of Technology has developed software to help health officials respond to pandemics by combining biological and demographic data. The system uses social media and real-time information to inform decision-making, allocating medical resources and personnel effectively.
Research highlights the challenges faced by UK hospitals in adopting electronic health record systems due to underestimated costs. The study identified four key cost categories: infrastructure, personnel, estates/facilities, and other expenses, which are often cut back during implementation.
Researchers developed a lightweight detection system using the hidden semi-Markov model to identify malware-infected computers. The approach can model normal behavior and highlight deviations caused by malware, making it easier to detect botnets in real-time.
Researchers at Universidad Carlos III de Madrid have developed a new biomedical diagnostic tool using personalized 3D imaging, enabling faster and more precise images of living organisms. This innovative technology has the potential to revolutionize medicine and basic research applications.
Briand's work on model-based software verification and testing has been recognized for its outstanding contribution to reliability engineering. The award honors his efforts to deliver predictable dependable software-intensive systems within cost and time constraints.
A CU-built software program uses big data to suggest personalized content review, boosting remembering by 16.5% in a study of middle school Spanish students. The algorithm analyzes past student performance to recommend material that needs review, leveraging strategies used by online retailers.
The Biotechnology and Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) have jointly awarded £1.43M to support the development of CCP4, a world-leading x-ray crystallography software resource. This funding renewal aims to further scientific knowledge and promote economic growth through innovative approache...
A team of researchers conducted the first-ever clinical study on computer security, exploring the impact of technological and human factors on malware attacks. The four-month study involved 50 subjects and found that technically sophisticated users were more at risk, contradicting the notion that they should have a 'Internet license'.
A team of four computer science professors is working on a project called imPACT to address essential properties for the Internet. They aim to find solutions for protecting users' privacy, ensuring accountability, and assessing trustworthiness of information and services.
The Never Ending Image Learner (NEIL) program analyzes 3 million images, identifying 1,500 object types and 2,500 associations, and develops a growing visual database to enhance computer vision capabilities. NEIL's findings are made available online, providing insights into common sense knowledge that humans take for granted.
A new study found that an interactive computer program increased help for those who needed it most without overtreating. Patients using the program were nearly twice as likely to ask about depression and receive treatment recommendations from their physician.
Researchers found that modifying electronic order set lists can significantly alter both the number and quality of lab tests ordered by clinicians. Including default selections increased the quality of lab tests, but also added costs.
Biomedical researchers can now explore complex data sets with ease, thanks to CHOP's open-source platform, Harvest. The toolkit provides a user-friendly interface to navigate different types and levels of data, allowing users to construct queries to slice and dice data.
Researchers at North Carolina State University have created software that uses a swarm of insect cyborgs to map unknown environments, such as collapsed buildings. The biobots' random movement is exploited to create a rough map of the area, which can help first responders navigate and identify potential hazards.
Jack Dongarra, a distinguished professor at the University of Tennessee, is being honored for his work on mathematical software standards and their impact on high-performance computing. He will receive the ACM-IEEE Computer Society Ken Kennedy Award for his influential contributions to performance measurement and parallel programming.
The University of Bristol and NICT successfully demonstrated a multicore fibre-based network, utilizing Space Division Multiplexing (SDM) and Software Defined Network (SDN) control. This breakthrough enables the efficient handling of emerging Internet applications such as global cloud computing.
The QUT-developed Semaphore program enables researchers to simulate fluxes of carbon and nitrogen, providing guidelines for reducing greenhouse gas footprint. The program reduces transaction costs and testing time, allowing landholders to adopt effective strategies for minimizing emissions.
A new study from Washington University in St. Louis finds that IT monitoring can significantly reduce employee theft and fraud in the restaurant industry, resulting in a 7% increase in revenue per restaurant. The study used monitoring software to track sales data of employees and found a 22% drop in theft after implementation.
Researchers have developed a new approach to virus detection that uses data mining algorithms and machine learning techniques to identify malicious code and behavior patterns.
Researchers create a system to encrypt software, making it unreverse-engineerable without solving mathematical problems. This mechanism uses multilinear jigsaw puzzles to prevent deciphering of the code behind software.
Researchers at MIT have developed a computer system, Remy, that automatically generates efficient TCP congestion-control algorithms. These algorithms significantly outperform human-designed versions in simulations, yielding transmission rates 2-3 times higher and delay reductions of up to two-thirds.
A team of Penn State researchers developed a process using three inexpensive computer programs to grade fingerprints for ridge detail evaluation. The system ensures standardized evaluation finer than human capabilities, improving the reliability of fingerprint matches.
A new technology has reduced overall radiation exposure from CT scans in children by 37 percent, according to a recent study. The software uses mathematical calculations to determine the lowest possible radiation dose for each patient, allowing radiologists to precisely control the amount of radiation based on patient size.