Articles tagged with Software
Researchers have developed an innovative new software that measures electrical activity in the heart, which may help identify potentially lethal arrhythmia. The open-source ElectroMap software can detect, map, and analyze arrhythmic phenomena for various data types, leading to a deeper understanding of heart diseases.
A new analysis of 65 million projects found that smaller teams are more likely to introduce new ideas to science and technology, while larger teams often develop and consolidate existing knowledge. This challenges recent trends in research policy and funding toward big teams.
The University of Illinois Chicago will lead a $3 million project to design and develop GAMEPLAY, a system that identifies security vulnerabilities in web software. Once identified, the system will generate patches for these vulnerabilities, known as exploits, to improve software security.
The NCCR MARVEL/CECAM team has been awarded the EPFL Open Science Fund to develop open software services for classrooms and research. The team will create an online hub with simulation and data-analysis tools that can be easily used by researchers and students.
The Chan Zuckerberg Initiative is funding open-source software projects to improve image analysis and visualization in biomedicine. The projects will focus on developing and maintaining tools such as scikit-image, ImageJ, and CellProfiler to accelerate basic research and benefit the entire field.
Researchers at Argonne National Laboratory are developing a machine learning-based framework called BLAST to accelerate and simplify materials modeling and simulation. This software will enable companies to quickly perform molecular dynamics simulations needed for new material vetting, with applications in polymers and steel alloys.
Researchers at NC State University have developed a virtual library of 1 million new macrolide scaffolds, which can help speed up the discovery of new antibiotics and cancer drugs. The library was created using computer simulation software that generates compounds with desirable properties.
A team of researchers is using a $820,000 DARPA grant to design a new kind of chip that can automatically match software with hardware, significantly reducing the time it takes. The chip, called DASH-SoC, aims to achieve this in just five nanoseconds.
Scientists developed an interactive database with 27 species, including a new species Pteromalus capito, to demonstrate the advantages of modern taxonomic software. The software Xper3 enables fast and efficient identification, reducing steps from 16 to 6 for one studied wasp species.
A new study will assess the effectiveness of AI-assisted ultrasound technology in enabling non-specialist medical professionals to capture high-quality echocardiograms. The 'SHAPE' study aims to determine if AI-guided acquisition and interpretation can detect more patients with cardiac disease in primary care settings.
Researchers at Carnegie Mellon University developed two approaches to improve smart devices' understanding of their environment: Ubicoustics, which uses microphone-based sound recognition, and Vibrosight, a vibration-detection system using laser vibrometry. These methods enhance context-aware computing capabilities.
A study by North Carolina State University found that the ACM code of ethics has no impact on software developers' decision-making. Researchers presented 11 ethical scenarios to 168 participants, with and without prior exposure to the code of ethics, and found no significant difference in responses.
A £5.5m partnership will study and develop quantum software for modelling and simulation, helping to establish a UK quantum software industry. Scientists hope to discover new materials and chemicals through this work, impacting sectors like energy and healthcare.
A study by Benjamin Trump and his team analyzed over 800 cryptocurrency forks and found a substantial growth in separate blockchains. The researchers believe that stable governance is essential for cryptocurrencies to be adopted for daily financial transactions.
A new wireless location system has been developed to drive future wireless innovation, providing control over disparate radio and network technologies. The system's integration with WiSHFUL architecture allows for experimental investigation of network applications using real-time location data.
A study published in Science Translational Medicine shows that PGDx's CerebroTM technology can detect tumor-specific mutations with higher sensitivity and positive predictive value compared to existing methods. This improvement is crucial for accurate treatment decisions, particularly for biomarkers like tumor mutation burden.
Scientists at U.S. Army Research Laboratory and Johns Hopkins University Applied Physics Laboratory develop software to analyze a robot's ability to self-right from any overturned orientation. The team evaluates the Advanced Explosive Ordnance Disposal Robotic System and determines it can right itself on level ground regardless of its ...
D-Wave Systems Inc. has successfully demonstrated a topological phase transition using its 2048-qubit annealing quantum computer, simulating a phenomenon behind the 2016 Nobel Prize. This breakthrough could lead to faster materials prototyping at lower costs.
A team of NYU Tandon researchers has received a $900,000 NSF grant to develop tools for safer AI deployment. The tools will address defensive schemes against malicious attacks and detect 'backdoors' in AI systems.
A new AI system developed by researchers can accurately edit facial expressions to match dubbed voices, reducing costs and time for the film industry. The technique uses model-based 3D face performance capture to record movements of actors' faces and transposes them onto target actors.
A new interactive design tool, CoreCavity, allows users to create durable injection molds for hollow, free-form objects. The software analyzes an object's 3D-scan and proposes a decomposition into pieces, which can be adjusted by the user, producing mold templates that can be 3D-printed.
A revised roadmap outlines the current status of quantum technology, examining its challenges and goals. The roadmap identifies key areas of focus, including quantum communication, computing, simulation, metrology, and control.
A multidisciplinary team of scientists from OIST has developed a novel tool to monitor biofilm growth, allowing for more efficient testing of replacement antibiotics. By using nanostructured chips and localized surface plasmon resonance, the researchers can observe bacterial cells growing without disrupting their test subjects.
Researchers from Aalto University and the University of Helsinki discovered over ten computer security-critical applications, including password managers, are susceptible to insider attacks. These vulnerabilities arise from inadequate protection of internal communication channels, allowing malicious processes to access sensitive data.
The US is experiencing constraints on human capital in software and IT fields, driving multinational firms to establish R&D hubs abroad. This shift is expected to strengthen US-based firms through access to global talent.
A study by Ohio State University researchers found that people make more efficient decisions when they consider the long-term consequences and maximize overall value for the group. By creating psychological distance from a decision, individuals can see beyond immediate considerations and allocate resources effectively.
A new software has been developed to automate the identification of dendritic spines in brain cells using machine learning. The software can identify spines with over 90% accuracy and is designed to be fast, scalable, and easy to use.
A computer program developed at the University of Bonn can accurately predict future actions by learning typical sequences from video sequences. The algorithm achieved an accuracy rate of over 40% for short forecast periods and was tested on new videos with promising results.
UNIST's Statistical Artificial Intelligence Lab (SAIL) won the digital curling competition with an AI-based software designed by Kyowoon Lee, Sol-A kim, and Professor Choi. The team applied Kernel Regression and Reinforcement Learning-based Deep Learning Technique to form self-winning strategies.
A new facial recognition software and app developed at Michigan State University can help track and protect endangered primates. The PrimNet system outperformed state-of-the-art face recognition systems in head-to-head comparisons, offering a more cost-effective and invasive approach to primate tracking.
Researchers at UBC created a system where software engineers can use simple voice commands to automate mundane tasks, increasing productivity and speed. The tool also enables typing minimal requests, allowing engineers to focus on important parts of their jobs.
The Texas Advanced Computing Center (TACC) is developing innovative software solutions to enhance scientific productivity. Their interactive parallelization tool, IPT, enables researchers to convert serial code into parallel code using tens of thousands of processors, achieving significant speed-ups and user productivity enhancements. ...
A team of scientists from Lobachevsky University, the Institute of Applied Physics and Chalmers University developed a new software tool called PICADOR for simulating ultra-dense electron-positron plasmas. The simulations showed that the plasma density can exceed 10^26 particles per cubic centimeter under certain conditions.
Researchers developed AI software to predict glioma patient survival by analyzing tissue biopsies, outperforming human pathologists' predictions. The approach combines deep-learning and conventional methods to provide more accurate and consistent information for doctors.
A software prototype called eFeed-Hungers has been developed to divert excess food to those in need, reducing food waste in the US and India. The interactive online network allows donors to post food they have to donate and those in need to find nearby locations for pickup.
IMDEA Networks Institute and TELCARIA launch project to achieve high performance and dynamic traffic processing in 5G networks. The research aims to separate processing from factors like location, time, scaling, and hardware, enabling scalable and flexible network design.
Researchers will co-design hardware and software to realize quantum computing's potential more rapidly, focusing on efficient algorithms and tools for programming and education. The collaboration aims to create a community of academic and industry partners to drive progress in the field.
A study using Avida-ED curriculum found that students who used the digital evolution software improved their understanding of evolutionary principles, including variation, randomness, and natural selection. The tool also increased acceptance of evolution among students, suggesting it could be an effective educational tool.
A team of researchers led by Heng Yin at the University of California, Riverside, is working on a $4.68 million grant to develop methods for securing legacy systems used in government agencies, including the Department of Defense.
Researchers at Ben-Gurion University of the Negev develop a technique to detect when a drone is capturing video of a person's location without their consent. The method uses controlled physical changes to modulate data transmitted on the FPV channel, allowing victims to prove privacy invasion attacks were committed.
A University of Michigan team is developing a new cybersecurity approach called MORPHEUS, which aims to create an unhackable computer by turning computer circuits into unsolvable puzzles. The technology could protect both hardware and software from attacks, making it difficult for hackers to identify vulnerabilities.
Researchers from Russia, China, and India are developing a software to analyze 3D images of infrastructure objects using laser scanner survey technologies and photography. The software will aid in detecting defects, building information modeling, and renovation at all stages of an object's lifecycle.
A new virtual child software is being developed to train professionals in behavioral intervention techniques for children with autism spectrum disorder. The software will feature a virtual child programmed with learning difficulties associated with autism, allowing users to practice and master treatment methods.
A new system uses drones to monitor railroad tracks, detecting good condition and possible incidents, allowing for automated data processing and reduction of human access to the track. This innovation improves safety for both users and workers, while also saving costs.
The Meta Planning Engine system detects changes in demand and uses multiple algorithms to find the best solution for traffic management. It provides flexibility and adaptability, allowing the software to choose the optimal algorithm for each situation.
A new system using thousands of Raspberry Pi nodes brings a powerful HPC testbed to system-software developers and researchers, enabling them to work on large supercomputers without dedicating expensive machine time. The scalable clusters have applications in education, internet of things, and HPC network topology research.
A new approach brings transparency to self-driving cars and other self-taught systems by automatically error-checking neural networks. Researchers found thousands of bugs missed by previous techniques, activating up to 100% of network neurons and improving accuracy up to 99%.
Kent State University professor Jonathan Maletic has received a three-year, $290,610 NSF grant to develop eye-tracking software that can track programmers' working environments. This project will enable more realistic studies of programmers' behavior, leading to better understanding of program comprehension and development.
Researchers at Purdue University have developed a new type of soft sensor that can sense in real-time without delay. The iSoft platform uses piezoresistive elastomer to detect changes in resistance caused by contact or stretching, enabling customized interactions and applications.
The University of California, Riverside team won the 'Best in Show' and 'Most Whimsical Hack' awards for their creative projects, including a hack that converted cat pictures into constellations. The team's work has the potential to educate and engage the community through interactive science experiences.
A recent study by North Carolina State University found that automated pull request tools can encourage programmers to upgrade out-of-date dependencies, resulting in a 60% increase in necessary upgrades. The research also showed that these tools can help maintain the most up-to-date versions of dependent software.
Researchers at Georgia Tech developed a new software called MERLIN to simulate origami behavior, allowing for faster design process and better understanding of structural performance. The software predicts how structures will bend, twist, and snap under compression forces.
Researchers are developing next-generation computational and bioinformatics tools to quickly assess the risk of synthesized DNA strands posing a threat. Mihai Pop and Todd Treangen are working with Fraunhofer and Signature Science to create a bioinformatics analysis pipeline for identifying potential biological threats.
Researchers at Carnegie Mellon University created a service called PrivacyStreams that enables app developers to access smartphone data without revealing private information. The service allows developers to sample and transform personal data into desired outputs, ensuring users' privacy is maintained.
Researchers from MIT's CSAIL have developed a new caching system that uses flash memory, reducing energy consumption by up to 90%. The system, dubbed BlueCache, achieves this through clever engineering tricks, including pipelining and the use of DRAM, while maintaining fast performance.
MIT researchers developed a system that uses drones to relay RFID signals, allowing for accurate location tracking of inventory items. The system can be used for continuous monitoring and resolving mismatches between inventory records and stock levels, potentially saving retailers billions lost due to errors.
Computer scientists at UMass Amherst have developed a new technique called 'Themis' to automatically test software for discrimination, highlighting the need for fairness in AI-driven decision-making. The researchers found that even fair-designed software can perpetuate bias when trained on biased data.
Researchers are developing software called ThermalTracker to automatically categorize birds and bats in thermal video. The system can help developers and regulators make informed decisions about siting and operating offshore wind projects, reducing uncertainty about potential impacts on wildlife.
Virtual.Pyxis software enables designers to create stronger and more versatile parts while shortening lead time and development cost. It can process a larger number of variables and constraints at a lower cost than commercially available programs.
A new tool from Disney Research enables novices and experts alike to create high-quality motion cycles in a matter of minutes, enhancing the creative process and expanding artist contributions. The tool uses an algorithm to extract the motion cycle from a performance, allowing for editing and customization.