Articles tagged with Software
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.
Researchers developed a new firewall program that monitors for malicious code in Android cellphones and prevents hardware-generated data leaks. The software uses machine learning algorithms to identify anomalies in internal communications and prevent attacks.
The project will establish a digital 'Online Cyber Security System' decision support service to rapidly bring together information on system vulnerabilities and alert organisations that may be affected. The system aims to address the acute shortage of cyber security experts by providing an up-to-date threat assessment and decision supp...
Researchers from Case Western Reserve University proposed a new method to calculate and correct short-circuit errors in large-scale distribution systems. The method, which was published in IEEE/CAA Journal of Automatica Sinica, uses real-time simulations and modeling to optimize the system in just 74 milliseconds.
A UTA-led interdisciplinary team is developing a computer program to detect social bots spreading fake news on Twitter. The project will leverage sophisticated algorithms and data mining techniques to combat the bots and spread of misinformation.
The Sensor Suitcase is a portable case that contains sensors and equipment to identify energy-saving opportunities in small commercial buildings. It helps users find cost-effective measures to save about 10% on their energy bills, making it easier for building owners to make their facilities more energy efficient.
The PervasiveSUB project allows deaf-blind people to access TV broadcasts in real-time, directly through Braille lines. This innovation has been successfully tested with groups of deaf-blind users in Spain and the US, who praised its ability to transmit information without intermediaries.
VoCo enables users to edit audio tracks by typing a transcript, automatically synthesizing new words in the speaker's voice. The system uses an optimization algorithm to find and stitch together phonemes, producing natural-sounding results.
Researchers at North Carolina State University have developed a user-friendly, inexpensive device called CAPTIVE that allows users to manipulate 3D virtual objects in six degrees of freedom. With minimal latency and cost, CAPTIVE offers a significant improvement over existing technologies.
A new method has been developed to ensure reproducibility in computational experiments, addressing a major challenge in science. Nextflow, a workflow management system, provides a standardized framework for managing computational workflows and integrating resources such as data repositories and cloud computing.
Lenvio Inc. has exclusively licensed Hyperion, a malware behavior detection technology from Oak Ridge National Laboratory (ORNL), to quickly identify malicious software behavior. This technology improves upon traditional signature detection methods, providing a new class of cyber protection against large-scale cybersecurity threats.
Researchers found that both humans and smartphones frequently fail to distinguish face morph photos from genuine faces, posing a security risk for identity verification. This weakness can be exploited by fraudsters, but raising awareness and using new technologies may help overcome these issues.
A recent research project aims to develop biocomputers that can overcome current computing obstacles, such as high energy consumption and processing speed limitations. The new approach uses biomolecular motors to solve problems by moving through a nanofabricated network of channels.
Researchers are working to detect malware in implanted medical devices, which can pose risks to patients. UA engineer Roman Lysecky is pioneering technologies to enable IMDs to detect malware and continue functioning properly despite security breaches.
A recent study found that automated journalism lacks the context and complexity of traditional reporting, citing issues with programming news angles in advance. However, journalists believe robo-journalism can reduce costs and increase specificity in some reporting areas.
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 ...
Researchers have developed Vizier, an open-source software to 'clean' big data, making it easier for users to explore, visualize, and communicate insights. The tool is designed for massive datasets, allowing users to spot errors and offer solutions.
A new chip designed by MIT researchers has the potential to make voice control ubiquitous in electronics, offering significant power savings. The chip's ability to minimize memory bandwidth and compress weights associated with each node enables efficient speech recognition, making it practical for relatively simple electronic devices.
Researchers from Boston University School of Medicine developed a new software tool to measure energy production in human immune cells, using Extracellular Flux technology and the SHORE analytical tool. This tool enables accurate comparisons between healthy individuals and those with type 1 or type 2 diabetes.
Researchers at TUM develop new simulation software that combines flow mechanics and flight dynamics in real-time, allowing pilots to prepare for challenging situations like flying near ships or mountains. The program has been validated with reference models and will be tested with experienced pilots.
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 are preparing to tackle an onslaught of petabytes of complex data from sophisticated experiments, including CERN's Large Hadron Collider. To keep up with the challenge, experts propose developing exascale supercomputers and smarter networks, as well as reengineering software to adapt to future hardware developments.
Brown University's XROMM technology has been upgraded with new software and fluoromicrometry methods, allowing researchers to track muscle contractions and bone movements with precision. This advancement has led to discoveries such as the use of body muscles to power swimming in fish.
GFlow is a computational software that makes wildlife habitat connectivity modeling vastly faster, more efficient and superior in quality and scope. It can solve ecological problems spanning large landscapes and predict the spread of diseases like Zika.
Using swarms of sensor-equipped biobots and remote-control technology, researchers create detailed maps of unfamiliar environments. The mapping process involves releasing the biobots into a defined area, which are then stitched together to form a comprehensive map, useful for locating survivors after a disaster.
Shuffler, a new program, continuously scrambles code to prevent hackers from exploiting bugs and carrying out malicious activities. The technique is faster and more user-friendly than existing solutions, making it a promising defense against cyber attacks.
A University at Buffalo research team explores the limitations of banning autonomous weapons, arguing that the actual problem lies in societal forces driving their development. They emphasize the need to examine cultural techniques and ideologies that lead to technological advancements.
The ECP has selected four co-design center proposals, focusing on co-optimizing applications, data services, and exascale platforms. The Block-Structured AMR Co-Design Center aims to develop a new framework for solving complex PDEs on exascale architectures.
Researchers at Binghamton University are using a National Science Foundation grant to study the potential of hardware in detecting malware. By modifying a computer's central processing unit (CPU) chip, the team aims to improve malware detection and provide continuous protection without requiring significant software investment.
The 'Digital Life' initiative aims to preserve the digital heritage of all life on Earth by creating 3D models of living organisms. Using the Beastcam Array, a rapid-capture system, scientists have already created models of sharks, scorpions, and other animals.
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 at Carnegie Mellon University have developed a new technology called ViBand that enables smartwatches to detect finger taps, flicks, and scratches. This allows for new applications using common gestures to control the smartwatch and other objects connected through the internet of things.
Uru, a software startup founded by Cornell Tech graduates, uses computer-vision technology to automatically find blank surfaces in videos and display non-disruptive ads. The company has received several awards and is targeting major platforms like Instagram and YouTube to monetize user-generated content.