Articles tagged with Software
A study found that peak joy displayed during pitches is linked to better funding performance, but prolonged display can undermine success. The most effective times for enthusiasm are at the beginning and end of presentations.
Researchers at Stevens Institute of Technology are developing tools to ensure programs run correctly in specific situations and determine if software can produce unwanted results. Their approach uses algorithms and temporal logic to model a program's structure and behavior, allowing for 100% guarantee against bugs.
Researchers at Michigan Medicine developed a smartphone-based tool that uses artificial intelligence to analyze retinal images and detect diabetic retinopathy. The device, called RetinaScope, achieved high sensitivity and specificity rates in a study, outperforming human graders in detecting the condition.
The new software automates image capture and analysis, providing more accurate radiation beam targeting and refined patient positioning. This technology enhances the quality assurance strategy in radiation therapy, potentially reducing toxicity and improving treatment outcomes.
Coral reefs surrounding Palmyra Atoll in the Pacific recovered dramatically after a 2015 bleaching event, with less than 10% dying. Imaging software and 3D structuring helped scientists monitor coral growth and decline over time.
Mendel Rosenblum's work on virtual machines transformed datacenters and enabled modern cloud computing. His contributions led to the development of Amazon Web Services, Microsoft Azure, and Google Cloud.
The TIGRE5-CM project has developed an SDN-based architecture for future mobile networks, simplifying deployment and configuration. The system improves the efficiency and accuracy of indoor localization services, enabling better end-user experiences in applications like transportation hubs.
Thierry Pécot, a Hollings Cancer Center researcher, has received a $1.1 million grant from the Chan Zuckerberg Initiative to develop deep learning tools for biomedical image analysis. The goal is to enable biologists to apply these tools to their images and accelerate disease research.
Caterina Strambio De Castillia has been named a CZI Imaging Scientist and received over $1 million in grant funding to develop standardized tools for microscopic imaging. The grant aims to facilitate sharing of reproducible datasets, analytical procedures, and analysis results among biomedical researchers.
Researchers found that firms in Pakistan were able to overcome political instability and security concerns through two strategies: 'step-up' and 'break-out'. The 'step-up' process involves firms mitigating client concerns and building trust, while the 'break-out' strategy focuses on short-term gains and quick turnaround.
A free software platform called Photo Sleuth uses crowdsourcing to identify faces in Civil War-era photos, with over 85% of proposed identifications being correct. The database now contains over 4,000 registered users and more than 8,000 photos, making it a valuable tool for historians and genealogists.
The NSF awards funding to further develop Open OnDemand, a platform providing web-based access to high-performance computing services. The project aims to simplify access to HPC resources, making it more accessible to new users and disciplines.
A new software tool has been developed to analyze Airborne Wind Energy Systems (AWES) that utilize lightweight kites or large drones. This innovation offers a cost-effective way to harness wind energy at high altitudes, where traditional wind turbines are not feasible.
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.
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.
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.
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.
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.
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.
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%.