Articles tagged with Software
A team of researchers developed a solution using GPT-4 to automate analysis of building operational data, providing comprehensive support for energy management. The codes generated by GPT-4 demonstrate high accuracy in energy load prediction and fault diagnosis.
Lero is recruiting 16 top international post-doctoral researchers for a €2.9 million fellowship program focusing on privacy, trust, inclusion and fairness in software expertise. The program will provide discipline-specific skills training and enhance career development.
Researchers found that many satellites lack basic security concepts, such as separation of code and data, and rely on obscurity to ensure security. The team conducted a thorough analysis of three low-earth orbit satellites and identified vulnerabilities that could be exploited by hackers.
A new machine learning-based simulation method called Materials Learning Algorithms (MALA) has been developed, enabling accurate electronic structure calculations at large scales. MALA achieves this by utilizing a hybrid approach that combines physics-based approaches with machine learning to predict the electronic structure of materials.
A new study found that deepfake video clips prompted false memories of films in 49% of participants, comparable to text descriptions. Many participants reported remembering the fake remakes as better than originals, highlighting concerns over artistic integrity and shared social experiences.
A groundbreaking study using ArchCUT3-D software analyzes ancient rock engravings, uncovering unique techniques and production procedures. The research sheds light on the craftsmanship, artistic expression, and cultural context of ancient cultures.
Researchers summarize existing compiler technologies in deep learning co-design and propose a new framework, the Buddy Compiler, to address performance bottlenecks in current AI applications. The study highlights the importance of hardware-software co-design in achieving optimal efficiency and effectiveness in deep learning systems.
A University of Missouri study found that consumers are more likely to use virtual apparel try-on software if it is interactive and easy to use. The research suggests that making the technology versatile can reduce privacy concerns, with qualities like interactivity having a direct impact on users' willingness to shop virtually.
A new study from the University of Copenhagen and Roskilde University found that computers malfunction between 11 and 20 percent of the time, wasting users' productivity. The researchers identify insufficient performance and lack of user-friendliness as the two biggest categories of problems.
AnalySwift will develop DATC, a design tool for engineers to analyze lightweight structures made from advanced tailorable composites. The tool aims to improve NASA's capabilities in designing and analyzing aerospace structures, reducing the need for costly physical experiments.
Researchers developed AEGIS, the first technique to detect backdoor attacks in robust machine learning models. It improves the trustworthiness of artificial intelligence by analyzing robust models and detecting mixed input distributions for poisoned classes.
Researchers have developed a simulation of how people behave on roads based on cognitive theories, accurately reproducing pedestrian and driver behaviors in common scenarios. The model predicts complex underlying cognitive mechanisms that contribute to the difficulty in creating self-driving vehicles.
Researchers at Chalmers University of Technology have developed open-source software, SuperConga, to explore new superconducting properties and advance quantum computing. The program operates at the mesoscopic level, enabling simulations that can 'pick up' the strange properties of quantum particles.
The PanDrugs2 programme analyzes alterations in tumour genes, relates them to existing available drugs, and reports on the most suitable ones. It handles data on over 4,600 genes and 14,600 chemical compounds, generating information on around 74,000 associations between drugs and genes.
A network meta-analysis of 10 studies found expert panel-based and computer-based aesthetic outcome evaluation scored lower than patient-perceived outcomes. Standardization of tools with racially and culturally inclusive patient-reported measures is needed to improve clinical assessment of breast cancer patients.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.