Articles tagged with Educational Software
The University of Texas at San Antonio is developing an artificial neural network called NFrame to monitor and detect 'bad behavior' in computer systems. The system will learn normal behaviors and flag anomalies, allowing it to predict potential issues and prevent security breaches.
Researchers have developed a new tool called SEAT to measure software-induced ergonomic risks, which can help prevent debilitating hand and wrist problems in office workers. The tool uses self-reported surveys to identify stressors and strain, allowing developers to remove stressors from software and prevent injuries.
Researchers analyzed network traffic from over five billion events to identify malware signals weeks before detection. This allows for early warning of potential attacks, reducing their impact. The study suggests new strategies for malware-independent detection, giving network defenders a timely advantage.
A team of researchers from Brown University has developed a new system called QUDE that adds real-time statistical safeguards to interactive data exploration systems to help reduce false discoveries. The system provides color-coded feedback on statistical significance, allowing users to avoid common mistakes in hypothesis testing.
Researchers developed a neural network-based method to stylize photos without losing original image details. The technique uses deep machine learning to preserve boundaries and edges while transferring styles.
Brown University researchers aim to build a user-friendly system that continuously controls for statistical validity in interactive data exploration. They will tackle the 'multiple comparisons problem' and develop new theory on how to evaluate sequences of data queries, aiming to promote better data science.
Researchers at Northwestern University developed Sketch Worksheets, a software that analyzes and provides feedback on student sketches to help them learn various subjects. The software uses CogSketch's visual processing algorithms and analogy model to compare student and instructor sketches, providing immediate feedback on mistakes.
A collaborative project led by Clemson University aims to improve and simplify large-scale data analysis using the Scientific Data Analysis at Scale (SciDAS) system. The goal is to provide a more fluid and flexible system for researchers to analyze vast datasets, enabling faster discovery and complex computations.
Researchers have developed software to decode digital brain data, enabling rapid progress on the ability to monitor neural activity and understand learning, memory, and cognitive functions. The collaboration has reduced processing time from days to less than a second.
Researchers at George Mason University are developing a tool combining intelligent computer software and crowdsourcing to help intelligence analysts make informed decisions. The IARPA-funded Co-Arg project aims to provide cognitive assistants that can test hypotheses, evaluate evidence, and provide intelligent reasoning in high-stakes ...
A custom-made software package called Identifin has been developed to standardize data collection for great white sharks. The software uses image recognition technology to match dorsal fin images and provides a user-friendly database for researchers to access.
Researchers at the University of Missouri developed new software TREND that can analyze series of images much faster and more accurately than ever before. This software resolves and tracks changes among images, enabling quicker analysis of complex data.
The University of Houston has received a $66 million in-kind software grant from Siemens PLM Software to support its Industrial Design program. This grant provides students with access to advanced technology used by global companies, enhancing their training and employability.
Researchers from Binghamton University have found a vulnerability in the Haswell CPU component that allows hackers to gain control of individual, company, and government computers. The team identified a weak point in address space layout randomization (ASLR) software that can be exploited by manipulating a CPU's branch predictor.
Researchers developed an integrated computational architecture to detect emotional states and provide pedagogic interventions with robot tutors, aiming to improve learning outcomes. The platform was tested on two primary school volunteers, showing that children preferred the robot tutor but still required human guidance.
Researchers at UCLA have discovered that MRI scans can detect the shrinkage of key brain regions in individuals with cognitive problems, similar to those seen in CTE cases confirmed by autopsy. This finding raises the possibility of using MRI scans to diagnose CTE in living patients.
Researchers have developed a technology that provides human operators with automated assistance in creating working code, expanding the number of people engaged in programming. The ExCAPE project aims to simplify program development and has already been tested in classrooms and online learning platforms.
A team of researchers from Google and NYU Tandon School of Engineering analyzed commercial pay-per-install practices and their distribution of unwanted software. They found that PPI affiliates are directly catering to the unwanted software market, avoiding user protections while delivering unwanted software under a thin veil of consent.
The National Science Foundation is establishing two Scientific Software Innovation Institutes (S2I2) with $35 million in funding over five years. The institutes will focus on developing and maintaining scientific software, improving the nation's cyberinfrastructure, and expanding access to computational resources for researchers. The i...
Researchers at NYU Tandon School of Engineering have developed a technique called LAVA, which intentionally adds vulnerabilities to source code to test bug-finding tools. The results show that many popular bug finders detect only 2 percent of vulnerabilities, highlighting the need for improvement.
A new software tool, RepeatAnalyzer, has been developed to track and catalogue short repeating sequences of bacterial DNA, improving scientists' ability to identify and understand bacterial strains. This technology could significantly accelerate vaccine development for tick-borne bacteria such as Anaplasma marginale.
Researchers from Disney Research and Fudan University developed a new approach that enables computers to recognize events in videos, including categories of events they've never seen before. The software associates visual elements with each type of event and can learn from new examples to improve its accuracy.
The Software Assurance Marketplace (SWAMP) partnership between Morgridge Institute for Research and Bowie State University integrates cybersecurity into undergraduate coding courses. This integration helps students develop prolific programming skills, including reading and interpreting code for errors. The program aims to address the h...
The Observatory on Social Media (OSoMe) provides a free online software suite to analyze online trends and memes. The tool offers four modules: Trends, Networks, Movies, and Maps, allowing users to explore how information spreads in social networks.
A new Duke University-led study uses mapping software to track threats to endangered species, pinpointing areas for conservation. The San Martin titi monkey's habitat has been fragmented due to farming, logging, and urbanization, with nearly 95% of remaining habitats too small or poorly connected to support viable populations.
TeamStudy, an iPhone research app built using ResearchKit, allows former NFL players and the public to engage in the study of athlete health. The app enables researchers to capture data from participants across the nation, providing insights into everyday experiences of former NFL players.
The study analyzed over 20 billion reports from 4 million machines worldwide, ranking countries by their vulnerability to cyberattacks. The US ranked 11th safest, while Scandinavian countries were found to be the least vulnerable.
University at Buffalo engineers are developing hardware and software tools to improve underwater telecommunication, increasing data transmission rates by up to 10 times. The technology has potential applications in monitoring pollution, military and law enforcement work, scuba industry, and energy industry.
A wearable, 64-channel brain monitoring system has been developed, providing a better fit for real-world applications. The system comprises a dry-electrode wearable EEG headset and sophisticated software for data interpretation, with a wide range of applications in research, neuro-feedback, and clinical diagnostics.
Researchers at Case Western Reserve University will create software to perform virtual energy audits, helping building owners identify efficiency problems and cost-effective solutions. The project aims to enhance the nation's economic and energy security by improving building energy efficiency.
University of Texas at Arlington engineer Jeff Lei has received a $375,000 grant to develop combinatorial testing techniques for big data software. This will enable developers to efficiently test large datasets, reducing the likelihood of bugs and improving software reliability.
Researchers have developed software for the Microsoft Kinect gaming console that measures body part thickness and checks for motion, positioning, and beam adjustment immediately before X-ray imaging. This technology aims to reduce radiation exposure and improve image quality for diagnostic accuracy.
The study uses satellite images to show how glaciers flow and change over a longer time period, revealing complex behavior such as advancing or surging at speeds up to 100 times faster than normal. The animations provide a new look at glacier dynamics and can be used as educational tools to help the public understand glacier movement.
Researchers find that spear phishing is successful due to users' habitual responses, despite training on information processing. Experts argue that habits play a crucial role in phishing attacks, and current training methods are inadequate.
Researchers at the University of Utah have developed software to create detailed 3-D models of animal brains, allowing for a more complete understanding of brain connectivity. This new tool can aid in studying mental and neurological conditions such as schizophrenia, depression, anxiety, and autism.
A NYU researcher has received an NSF grant to develop 'privacy ideation cards' that explain US data-protection laws and regulations to software professionals. The project aims to integrate privacy into software design, promoting the "Privacy by Design" approach.
A new method has been developed to reclaim lost instructional time in elementary schools by making transitions fun and engaging. The system, called Keep Busy and Carry On, resulted in an average of 39 extra minutes a week of instruction, equivalent to 2.6 extra hours per month.
A UT Arlington computer scientist is developing novel software engineering methods to detect and mitigate unsafe cyber-physical upgrades in the energy domain. The research aims to create more reliable and safer systems, easing the verification and validation process for software and systems engineers.
A $381,000 grant from the National Library of Medicine will support the development of open-source software tools to measure and monitor the quality of electronic data received by public health departments. The goal is to improve data quality, which will ultimately lead to better health outcomes.
The University of Massachusetts Amherst is set to commercialize its intelligent tutor, MathSpring, a software designed to provide personalized math lessons for K-12 students. The technology has shown promise in improving student performance by up to 10% on standardized test scores.
A team of computer scientists from University of Utah discovered a way to find bias in algorithms used for hiring decisions and loan approvals. They developed a technique to determine if such software programs discriminate unintentionally, revealing potential issues with disparate impact. The researchers also found a method to fix thes...
The researchers developed a new algorithm using geometric matching and machine learning to analyze style similarity in 3D objects. They achieved an agreement rate of 90% with human evaluations, making it a valuable tool for computer graphics applications.
A Harvard Medical School study found that symptom checkers are roughly equivalent to telephone triage lines and better than general Internet-search self-diagnosis in suggesting whether users should seek medical care. However, the tools often encourage overly cautious advice, which can lead to unnecessary medical visits.
Researchers at Aarhus University have developed new software that enables faster and more precise analysis of individual molecules. This allows for better understanding of molecular interactions and behavior, which can lead to breakthroughs in targeted medicine.
Rochester Institute of Technology professor Elizabeth Cherry is developing virtual heart models for cyber-physical systems as part of a five-year NSF project. The Cyberheart platform will analyze and simulate medical device interactions with patient-specific heart models, enabling safe and effective software for future medical devices.
A new study uses computational software to design variants of an HIV-1-targeting antibody, revealing improved stability and broadened neutralization capabilities. The findings may inform the development of effective HIV-1 vaccines.
Researchers found that more resilient teens were less likely to suffer negative consequences from extreme online exposure, regardless of their level of internet usage. The study emphasizes the importance of empowering teens with coping strategies to manage online risks rather than relying solely on abstinence.
Researchers developed LevelCheck software to assist surgeons in identifying the correct vertebra during spine surgery. The software achieves 100% accuracy in just 26 seconds, helping prevent wrong-level surgeries and improving patient safety.
A Carnegie Mellon University study found that when smartphone users learn the frequency of app location sharing, they quickly limit further sharing. Participants who received daily 'privacy nudges' detailing their app's access to sensitive information restricted permissions more than those who used an app permission manager.
Researchers at Georgia Tech are investigating information leaks from laptops and smartphones, which can be used by hackers to spy on users even when not connected to the internet. They have developed a metric to measure the strength of these 'side-channel signals' and are studying where they originate to develop countermeasures.
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.
Researchers create cellPACK software to explore viruses, bacteria, and human components in 3D, demonstrating its power by modeling HIV structure. The tool solves the challenge of visualizing mid-size structures, reducing model creation time from weeks to hours.
The Computational Infrastructure for Operations Research (COIN-OR) initiative was launched by IBM Research in 2000 and has since grown to over 50 projects, supporting hundreds of peer-reviewed research papers. The INFORMS Impact Prize recognizes the program's broad impact on operations research.
CheckCell, a new data-debugging tool, automatically finds errors in spreadsheets and flags high-impact data points for review. The plug-in uses statistical analysis and data flow analysis to identify unusual inputs that have a significant impact on program output.
Surveyman identifies problems in surveys from design stage onward, addressing bias in question order, wording, correlation, redundancy, and respondent honesty. The free, publicly available tool guides users through steps to create a survey spreadsheet, ensuring more accurate results.
North Carolina State University researchers aim to improve educational software by incorporating facial expression, body language, speech, and other cues to respond to students' emotional states. The goal is to customize program responses based on verbal and nonverbal cues.
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 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.
A Pittsburgh Supercomputing Center and Johns Hopkins Bloomberg School of Public Health team used HERMES modeling software to help the Republic of Benin redesign its vaccine delivery system, saving an estimated $500,000 in costs while improving vaccination rates.
Students at both universities will learn to break into and protect hardware, software, and data through hands-on experiments. The program aims to educate future users, developers, and controllers of computer systems on how to defend against cyber attacks.