Articles tagged with Software
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 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.
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.
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.
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...
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.
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.
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.