Articles tagged with Software
Researchers developed a predictive model called Programmer Flow by Information Scent for teams (PFIS-T) that incorporates both teammates' activity and communication to predict a user's next action. The model achieved an accuracy of 81.5% in predicting team navigations, improving accuracy by up to 16.7% over previous models.
Florida Atlantic University has received a $4.5 million grant from the US Air Force to establish a high-fidelity platform for autonomous decision-making and real-time sensor fusion research. The T-1A Jayhawk simulator will be used to study cognitive performance, situational awareness, stress and decision-making under pressure.
Researchers developed a digital safeguard, My Music My Choice, to protect songs from generative AI cloning. The tool adds imperceptible changes to a song's waveform, making it difficult for AI models to replicate.
A new study proposes a framework for connecting AI risk prediction systems with scheduling platforms to detect emerging risks and adjust project plans before delays occur. This approach aims to close the gap between early warning and actionable response, enabling more resilient project delivery.
NPSS 3.3 offers new interfaces, features and data types to enhance model and component development times, supporting turbomachinery, air-breathing propulsion systems and hybrid electric systems. The software now includes FFI integration with external functions and built-in support for .CSV file format exports.
Researchers at the University of East London identified a critical weakness in Industrial Internet of Things networks that can destabilize factories and safety-critical infrastructure. Attackers can exploit subtle 'delay attacks' to quietly disrupt coordination, making timing just as important as information in highly automated systems.
Four NYU faculty members have been awarded Sloan Research Fellowships for their groundbreaking work in brain injury, organic chemistry, computing, and software. Since 1955, 102 NYU faculty members have been selected as recipients, including this year's 126 fellows.
Epicurrents is an open-source web browser application that enables users to view various clinical neurophysiology recordings directly in a web browser. It supports easy, secure, and cost-effective remote teaching and can be used for both educational purposes and scientific research.
Researchers will gather to discuss how to engineer AI systems that work in the real world, focusing on composition, optimization, verification, and evaluation. The conference aims to establish shared foundations for a new class of software, including methods for evaluating models and ensuring durability, efficiency, and dependability.
The Association for Computing Machinery has named 72 new Fellows for their technical innovations and service to the field. The honorees represent the top 1% of professionals worldwide, with contributions in AI for healthcare, computer graphics, data management, and more.
A new study reveals that around one-third of all newly written software functions in the United States are already being created with AI support, with productivity gains mainly driven by experienced developers. The study found wide regional gaps, with the US leading at 29% AI-assisted code, while China and Russia lag behind.
The use of generative AI in software development can lead to increased productivity, but also creates technical debt and hasty coding if not managed properly. Companies must prioritize fixing technical debt, develop clear guidelines for AI-assisted coding, and train developers on the hazards of AI coding.
Andreas Zeller recognized for his work on automated debugging and security testing, with a total of nine Test of Time Awards. He is one of the few researchers to receive two ERC Advanced Grants from the European Research Council.
Researchers developed RNACOREX, a new open-source software tool that identifies gene regulation networks in cancer. The tool analyzes thousands of molecules simultaneously to detect key interactions, providing an interpretable molecular map that improves understanding of tumors.
The University of Toronto has launched Electric Vehicle Innovation Ontario (EVIO), a partnership between industry and academia to develop next-generation electric vehicle technologies. The program will generate over $30 million in economic activity, expand firm-level R&D capacity, and create new Canadian intellectual property.
The Association for Computing Machinery has named 61 new Distinguished Members, recognized for their contributions to AI for healthcare, data management, human-computer interaction, and other areas. The recipients include experts from top universities, corporations, and research institutions worldwide.
Intellicule will utilize state-of-the-art deep-learning techniques to expand structural modeling and analysis for cryo-EM data. The company aims to overcome current limitations in biomolecular modeling, enabling the detection of atoms in low-resolution images.
A new model developed by Osaka Metropolitan University Assistant Professor Takuya Fujinaga enables robots to accurately pick tomatoes, with an 81% success rate. The system evaluates the ease of harvesting for each tomato, taking into account factors such as fruit clustering and stem geometry.
A11yShape, an AI-assisted tool, enables visually impaired computer programmers to create, edit and verify complex 3D models without assistance. The tool uses GPT-4o to provide detailed descriptions of the model for blind and low-vision programmers.
The Hearing Protection Optimization Tool translates acoustic and psychoacoustic factors into clear visuals, helping users compare different hearing protection devices. The tool matches users with regulatory-approved HPDs based on their noise environment and preferences.
Researchers investigate how people with disabilities feel when their avatars depict them the way they see themselves. Most participants reported positive feedback when their avatar reflected their disability, and many felt comfortable expressing their identity in virtual reality.
Researchers at the University of Texas at Dallas have developed PropType, a unique interface that transforms everyday objects into typing surfaces within an AR environment. This technology leverages tactile feedback to reduce reliance on visual cues and provides an alternative to traditional keyboards.
A new study uses graph representation learning to enhance bookkeeper decision support for bank reconciliation. The method significantly improves match accuracy, especially on one-to-many matches, by leveraging a network of historical records and transactions.
Scientists at Institute of Science Tokyo developed an automatic and adaptive LED-based optical wireless power transmission system that can efficiently power multiple devices without interruption. The system overcomes limitations of traditional OWPT systems by adapting to varying lighting conditions and ensuring stable power delivery.
A University of Delaware team, funded by NSF, creates next-generation secure computer chips using AI and game theory. The project aims to predict attacks and set new benchmarks for global hardware security, enabling the design of safer and more trustworthy systems.
A new empirical study by computer scientists reveals that software developers tend to scrutinize AI-generated code less critically and learn less from it. In contrast, human pairs are more likely to engage in broader discussions and critically examine each other's contributions. The study highlights the limitations of AI assistants in ...
Duke engineers built an AI optical microscope that can analyze 2D materials with up to 99.4% accuracy, identifying layer regions and subtle defects. The system, ATOMIC, leverages publicly available AI foundation models to speed up the process, requiring no specialized training data.
MARTi enables rapid taxonomic classification and abundance analysis of microorganisms in various settings, including agriculture, environmental monitoring, and clinical environments. The tool provides immediate analysis results, allowing for quick identification and targeted treatments of pathogen infections.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Researchers at the University of Sydney have developed end-to-end encryption for git services, protecting sensitive code from cybersecurity threats. The encryption aligns seamlessly with existing platforms like Github and Bitbucket, reducing computational resources needed while encrypting only edits.
Researchers at Waseda University have developed a new class of polymers with ultralow dielectric loss, enabling high-speed telecommunications. The polymers, specifically poly(2,6-dimethyl-1,4-phenylene sulfide) (PMPS), achieved a low dielectric constant and dissipation factor, making them suitable for future 5G and beyond networks.
Despite no decrease in usage, Wikipedia faces challenges from AI data scrapers and Large Language Models. The platform is struggling to allocate resources due to the influx of AI training data, threatening its current structure.
Researchers developed an advanced survey system combining AR glasses with a camera and AI to objectively assess leafminer damage in the field. The DeepLab-Leafminer model achieved superior segmentation performance, resulting in high diagnosis accuracy rates.
The £250 million investment will create an Advanced Marine Technology Hub at the University of Plymouth, leveraging its expertise in autonomous marine systems, maritime cyber security, and renewable energy. This initiative aims to boost the city's economy and enhance UK's national resilience.
Researchers from Carnegie Mellon University found six million fake stars on GitHub, used to boost repository reputation and steal user data. The use of fake stars muddies the waters, making it challenging to differentiate between legitimate and malicious repositories.
Researchers at Seoul National University of Science & Technology developed LWMalloc, a lightweight and high-performance dynamic memory allocator for resource-constrained environments. The new allocator outperforms ptmalloc by achieving up to 53% faster execution time and 23% lower memory usage.
A new login system called Client-Side Encrypted Access Logging (CSAL) detects online account compromise without exposing personal devices to invasive tracking. The system verifies whether a login came from a user's own device, addressing a flaw in how major platforms log account access.
The $2.5 million DRIFT program aims to close critical talent gaps and safeguard connected vehicles by providing specialized online and in-person training. Worcester Polytechnic Institute will lead the university’s DRIFT program, offering tuition-free modules and real-world training to upskill engineers and professionals.
Experts from across industries and disciplines gathered to assess the current state of cybersecurity through a multidisciplinary lens. The workshop explored emerging technologies and the intersection of technology and policy, highlighting the need for a unified ecosystem to address persistent challenges.
Researchers at the University of Graz and the University of California, San Diego have developed a novel method to determine omega positions of lipids in complex biological samples. This breakthrough enables the study of biological mechanisms in unprecedented detail, particularly for inflammation-related diseases.
This book provides a beginner-friendly resource on the impact and evolution of decentralized networks, highlighting their applications in healthcare, supply chains, agriculture, climate monitoring, and education. The authors emphasize sustainability, data security, and ethical tech adoption.
Researchers use AI to solve differential equations, such as Schrodinger's equation, for large-scale systems, improving efficiency and accuracy in fields like drug discovery and material design.
The team aims to deliver AI power directly to devices, improving resilience and speed in constrained environments. By processing data step-by-step across a network of devices, they can create a safe and adaptable system that can withstand attacks and extreme conditions.
A research team at Vienna University of Technology has discovered a previously undiscovered Android security vulnerability that allows fraudulent apps to take control of mobile phones. Users may be tricked into performing unwanted actions, such as granting certain rights or deleting data.
The new journal aims to accelerate knowledge dissemination in AI by prioritizing theoretical breakthroughs, practical applications, and societal implications. It features short peer-reviewed contributions and opinion pieces to facilitate swift engagement with contemporary AI issues.
Researchers developed an AI-powered microscope system to measure soil fungi presence and quantity, providing insights into soil health and fertility. The low-cost optical microscopy with machine learning technology can be used by farmers and land managers worldwide.
FANDANGO, a new open-source fuzzing tool, employs an iterative procedure modeled on biological evolution to produce high-quality test inputs that cover both semantics and syntax. The tool enables complete control over test inputs, allowing testers to specify input characteristics and explore specific parts of the program.
The Association for Computing Machinery (ACM) has announced a new open-access journal, TAISAP, focusing on AI security and privacy. The journal aims to develop methods for assessing the security of AI models, systems, and environments, including adversarial attacks, privacy concerns, and cybersecurity applications.
A Cochrane review found that virtual reality (VR) can help stroke survivors regain arm movement and increase therapy time. VR may also improve balance and reduce activity limitations, but effects on mobility and quality of life are uncertain.
Researchers at Texas A&M University found that websites use browser fingerprinting to track people across browser sessions and sites. Even users who opt out of tracking under privacy laws may still be silently tracked through fingerprinting.
Researchers develop annotation-free avian population estimation approach using multimodal perception model, achieving high accuracy without explicit object localization. The method is tested on the Wetland-Bird-Count dataset, outperforming existing weakly supervised and unsupervised methods.
A new deep learning model, ENDNet, significantly enhances subgraph matching accuracy by identifying and neutralizing extra nodes that interfere with the matching process. This improves performance in pattern recognition tasks across various fields, including drug discovery and natural language processing.
The Mass Query Language (MassQL) tool empowers scientists to uncover previously unknown pollutants in massive chemical datasets. It has identified toxic compounds hidden in plain sight, including organophosphate esters and chemicals from breaking down over time.
Proof scores use term rewriting to verify system properties, striking a balance between automation and human effort. Despite limitations, the technique has been successfully applied to various systems and protocols, with potential for critical applications in safety-critical systems.
This year's ACM awards recognize groundbreaking innovations in autonomous systems, cryptography, and software for parallel computers. Peter Stone receives the Allen Newell Award for contributions to AI, while William Gropp and his team receive the Software System Award for developing MPICH.
A Dartmouth team's AI model recognized Navajo with near-perfect accuracy, identifying related languages such as Apache and Native Alaskan languages. The study suggests that this technology could be a bridge to including smaller languages in online translation services.
Eurocrypt 2025 will bring together leading cryptographic researchers and experts for a four-day conference in Madrid, featuring pre-conference workshops and over 650 participants. IMDEA Software Institute is the main organizer of this event, alongside other top-tier institutions.
Computer scientists at the University of Bath reprogrammed a Roomba to perform four new tasks, showcasing the untapped potential of domestic robots. The researchers identified over 100 ways to tap into the latent potential of robotic devices, proposing functions such as playing with pets, watering plants, and delivering breakfast in bed.
MSU is developing a computer program called MOSAIC to create holistic biological profiles from skeletal remains, making the investigative process clearer and more efficient. The project aims to leverage relationships between various structures to provide estimates without biasing results by focusing on individual components.
Researchers at Osaka Metropolitan University developed an autonomous driving algorithm for robots to navigate raised cultivation beds, utilizing lidar point cloud data. The system enables precise movement and accuracy in both virtual and actual environments, promising to expand tasks beyond harvesting to monitoring and pruning.