Articles tagged with Software
Clean technology can help reduce food waste and establish long-term sustainability goals in on-site foodservice providers. Engaging employees in the process is crucial for its success, as it helps measure and quantify waste production.
Researchers propose a four-step process for guiding the use of ChatGPT in education, identifying desired outcomes, determining automation levels, ensuring ethical considerations, and evaluating effectiveness. The study finds that ChatGPT can improve teaching models, assessment systems, and student learning experiences.
Researchers have developed TomoTwin, an AI-based software that accurately identifies and localizes proteins in cells using electron cryo-tomography. This innovation expands the potential of cryo-ET to decipher biomolecule functions and unveil disease origins.
SpaceMarkers, a new machine learning software, can identify molecular interactions among distinct cell types in and around tumors. By analyzing spatial transcriptomics data, it reveals genes overexpressed due to cell-to-cell interactions, providing new avenues for understanding cancer progression and treatment responses.
A team of researchers from University of Missouri and University of Nebraska-Omaha are working on a three-year, $1.6 million grant to make open-source software tools more accessible and understandable to a wider range of people and tech companies. The project aims to identify what OSS projects are good to invest in for commercialization.
Researchers successfully applied reinforcement learning to protein design, creating proteins with improved antibody generation and accurate nano-structures. The approach may lead to more potent vaccines and novel applications in regenerative medicine.
A study at ECCMID shows AI software can detect TB from chest X-rays with sensitivity and specificity comparable to that of trained radiologists. The technology has the potential to improve diagnosis in low-resource settings where radiologists are scarce.
A new study has introduced a technique to effectively and efficiently mitigate risks by misperception of image recognition AI used in automated driving systems. Researchers have developed DNN repair methods that explore sets of parameters responsible for each misperception type, leading to more effective risk mitigation.
OncoMerge uses genetic data to analyze tumor activity and predict future changes. The software detects abnormal gene fusions and mutations affecting protein expression and gene copy numbers, improving the accuracy of cancer modeling predictions.
A new model of DNA flexibility has been developed, providing results of unprecedented quality and characterizing precision and efficiency at the computational level. The study presents a systematic and comprehensive analysis of DNA movement correlations and introduces a new method to capture them.
Researchers at the University of Kansas propose a data project life cycle to equip students with essential data skills, including spreadsheet wherewithal. The approach emphasizes planning, acquiring, organizing, analyzing, and interpreting data in simple spreadsheets.
Researchers at the University of Missouri are acquiring a new transmission electron microscope (TEM) with a $800,000 grant from the National Science Foundation. The TEM will allow them to conduct experiments in real-time and gain a greater understanding of material structure at an atomic level.
Researchers developed an image analysis algorithm that can automatically measure Arabidopsis thaliana stomatal aperture with high accuracy and speed. The technology also includes a portable imaging device for non-destructive observation using intact plants, allowing for rapid measurement of subtle changes in stomatal aperture.
Researchers have developed a high-speed, 3D gigapixel microscope that stitches together dozens of cameras to capture life in unprecedented detail. The device enables the recording of differences in pitch and depth, allowing scientists to study zebrafish behavior and developmental biology without harming the animals.
The CONVINCE project, funded by €4 million, focuses on developing cognitive deliberation capabilities in autonomous robots to enhance safe and robust operation in unstructured environments. The goal is to enable robots to adapt to their surroundings and tasks autonomously without human intervention.
A new LiDAR system pinpoints pedestrian behavior to improve safety and efficiency at intersections. The system tracks pedestrians' true intent to cross, reducing conflicts between pedestrians and vehicles.
Earth Map provides users with intuitive remote sensing data and enables a broader range of actors to take an active role in monitoring lands impacted by human activities. The tool aims to inform decision-makers about the current state of climate and resource management, driving meaningful policy changes and sustainable livelihoods.
A new generation of software, MZmine 3, enables scientists to analyze large volumes of data from mass spectrometry, tracing hundreds of thousands of chemical compounds. This breakthrough accelerates data processing and opens up opportunities for researchers to investigate disease causes and mechanisms.
The CONFIDENTIAL6G project aims to enhance the security and reliability of 6G networks, enabling their use in emerging AI tools and IoT devices. IMDEA Software Institute will contribute privacy-preserving computation technologies such as secure multi-party computation and homomorphic encryption.
A new process combining human evaluation and AI optimization produces better designs than fully automated systems or manual approaches. The 'Human-Informed Topology Optimization' method reduces material usage while maintaining strength, and can be applied to various scales and applications.
TrustedSEERs project, led by Professor David Lo, uses software analytics to create trusted automation bots as digital assistants informed by Artificial Intelligence (AI). The goal is to improve the quality of software systems and applications by addressing challenges faced by software developers.
The new technology enables wireless communication and battery-less operation using a custom chip that can be powered by LTE signals. This approach reduces e-waste and increases device lifespan by up to several decades.
Tactile Engineering's Cadence tablet allows users to access technical diagrams and read equations using a refreshable display of electronic cells. The investment will enable the company to manufacture Cadence in larger quantities, supporting its mission to strengthen Braille literacy and equal-opportunity STEM education.
Verkko software assembles gapless human genome sequences quickly and precisely, enabling better assessment of genomic diversity and comparative genomics. This innovation accelerates efforts to generate complete genome sequences of various species, improving research and discovery in the field.
Researchers developed a new method to quantify the structure and quality of messenger RNA (mRNA) medicines using liquid chromatography, mass spectrometry, and software analysis. The platform can analyze all three key components of mRNA medicines simultaneously, providing unparalleled efficiency in checking for quality.
The new automated method, called HybridFlow, uses large-scale aerial images to produce precise 3D models of cityscapes and landscapes. This technology has potential applications in natural disaster risk assessment and mitigation, enabling informed decision-making and evaluation of risk-mitigating factors.
The JIPipe software enables automated analysis of images generated in research without requiring programming skills. Users can create flowcharts and perform automatic image analyses using artificial intelligence.
Autism research focuses on understanding heterogeneity between individuals, with Prof Michael Lombardo's project testing stratification by functional skills. The goal is to isolate specific biological markers and treatment responses.
French researchers found that human and organizational factors negatively impact clinical decision support system use, whereas technological factors have a neutral effect. Despite benefits, PCPs report decreased efficiency due to increased workload, highlighting the need for developers to address these issues.
The Norwegian Labour and Welfare Administration's shift to second-generation agile methods resulted in a successful project completion within budget and deadline. This approach prioritizes user friendliness, flexibility, and continuous interaction, reducing administration and coordination time while increasing productivity.
A new software program developed by Duke Ph.D. student Dan Fu lets users create 3D structures made of DNA, including tiny vases, bowls, and hollow spheres. The software relies on a way to build with DNA described in 2011 by Hao Yan, which works by coiling a long DNA double helix into concentric rings to form the contours of the object.
The RITHMS project aims to enhance police forces' and customs authorities' capabilities in tackling illicit cultural trafficking with innovative technologies. The platform will utilize Social Network Analysis to identify organized criminal networks and provide valuable information to investigators.
Researchers at Nara Institute of Science and Technology have developed a method to measure the congruence between contributor networks and library dependencies in open-source software ecosystems. By analyzing over 5.3 million change commits across 107,242 libraries, they found that libraries with high levels of matching contributions a...
Researchers have developed a robot capable of sorting, manipulating, and identifying microscopic marine fossils. Forabot uses robotics and artificial intelligence to automate the tedious process of evaluating foram shells and fossils.
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
Research from Binghamton University found that government agencies struggle with innovation due to risk-aversion and compliance constraints. Digital platforms can help strike a balance between standard and flexible approaches, enabling efficient innovation.
NJIT Assistant Professor Salam Daher is using augmented reality technology to train caretakers for the elderly. The project aims to improve communication and empathy skills through a digital model of an older person that responds to emotions and environment. The system will be tested to investigate its impact on patient outcomes.
In an experiment pitting human expertise against artificial intelligence, researchers found that the computer program correctly predicted six out of nine proteins capable of self-assembly. This breakthrough suggests machine learning can complement human intuition in biotechnology research.
A study by Professor Dennis Murphy Odo found that automatic text simplification (ATS) software makes authentic materials more comprehensible for L2 learners with high reading proficiency. However, the tool's effectiveness is limited for learners with lower reading proficiencies. The researcher suggests that ATS tools need to be further...
Researchers at Kyushu University developed a new method to create highly detailed 3D models of plants and animals. Over 1,400 models are now publicly available for use in education, research, and virtual exploration.
The journal covers high-quality research and practice-driven advancements in distributed ledger technologies. Featured articles include Byzantine Fault Tolerance, incentivizing data quality, decentralized federated learning, and scalable trustworthy infrastructure.
A University at Buffalo-led research team has been awarded a $5 million grant to develop digital tools that can help older adults recognize and protect themselves from online deceptions. The project, DART, aims to reduce online fraud among older adults, who lose billions of dollars each year due to scams.
Researchers developed algorithms that can predict volleyball players' actions with over 80% accuracy, combining visual data with hidden variables. The algorithms also showed promise in predicting multiple actions across sequences of up to 44 frames.
A new computer program, ExtRaINSIGHT, has been developed to track harmful mutations in the human genome throughout evolution. The study found three regions of the genome that are extremely sensitive to mutations, including splice sites, miRNA molecules, and central nervous system genes.
A University of Missouri researcher and his team are using artificial intelligence to study anatomical research, creating detailed 3D computer models of muscles. This technology is advancing the field by enabling researchers to analyze muscle fiber orientation and develop a better understanding of motor control in animals.
Researchers at UMaine have developed a novel AI-based method for monitoring soil moisture in forests, using wireless sensor networks and machine learning to optimize energy efficiency. This approach could enable more efficient tracking of forest health, reducing costs and increasing reliability.
Rice University's ROBE Array algorithm slashes the size of DLRM memory structures, allowing training on 100 megabytes of memory and a single GPU. The method matches state-of-the-art DLRM training methods with improved inference efficiency.
Researchers at the University of Washington developed AquaApp, a mobile app that enables underwater messaging on billions of existing smartphones and smartwatches using software. The app uses acoustic signals to transmit messages and can accommodate up to 60 unique users on its local network.
Researchers at NC State University have developed a cooperative distributed algorithm that allows autonomous vehicle software to make calculations more quickly, enabling real-time navigation of complex merging scenarios. The approach improves both traffic flow and safety, with zero incidents in simulations.
NTU Singapore has launched the Algorand Centre of Excellence at NTU (ACE@NTU), a new research and education centre focused on developing and advancing blockchain technologies. The centre aims to become the nexus for blockchain education and research in Singapore and the region.
The Madrid Flight On Chip (MFOC) project has successfully implemented advanced technological products and introduced disruptive changes in the design and verification of complex space systems. The project, which ran for over three years, focused on Multi-Processor System on Chip (MPSoC) components and aimed to reduce testing costs.
Researchers developed an AI-driven device that detects and predicts hemodynamic instability using a single ECG lead, outperforming traditional vital sign measurements with nearly 97% sensitivity. The technology has the potential to provide continuous dynamic monitoring capabilities in patients with intermittent static vital sign measur...
A new platform called MoveApps enables scientists and wildlife managers to explore animal movement data with little more than a device and a browser. The system uses open-source code and allows users to create complex analyses with simple clicks.
Researchers at Columbia University have developed a new verification technology for the Arm Confidential Compute Architecture, demonstrating the first formal verification of a prototype. This breakthrough enables the creation of confidential computing architectures that can protect sensitive user data.
A team of experts is working on new software tools and industrial guides to improve concrete mixes, structural designs, and construction processes. The project aims to mitigate the risk of construction defects related to fresh concrete, reducing costs and delays.
Researchers found serious security issues in 42 daycare apps, allowing access to private photos and personal data without consent. The analysis highlights inadequate privacy policies and recommendations for guidelines and checklists to ensure compliance with data protection regulations.
Researchers found that socially isolated bumblebees exhibited an increase in affiliative behavior, unlike expected aggression. The brain development of isolated bees showed similarities with group-reared bees, suggesting controlled chaos in the absence of social environment.
The study, led by Carnegie Mellon University researchers, identified toxic content in open-source platforms like GitHub, which is more contextual, entitled, and subtle than other online communities. The team developed a dataset of 100 toxic posts to better understand the nature of toxicity in open-source discussions.
Researchers developed open-source software SHRY to find distinct substitution patterns in disordered systems, reducing computation time. The software uses group theory and canonical augmentation to efficiently analyze crystal structures with random substitutions.
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.