A joint research team developed a unified tracing framework to analyze latency across heterogeneous software platforms in autonomous-driving systems. The platform demonstrated low tracing overhead and successfully identified performance bottlenecks, contributing to improved development and evaluation of Software-Defined Vehicles.
A study found that family caregivers who write immediately after a stressful event or while with the care recipient tend to focus on emotional expression, whereas those who wait or change their environment exhibit more objective reflection and problem-solving. The researchers hope their findings will encourage caregivers to recognize t...
Eisty's Software Analytics and Intelligence Lab aims to leverage AI in scientific software pipeline while maintaining reproducibility, correctness, and long-term utility. The team will evaluate AI-generated tests for scientific relevance and develop guidelines for responsible AI-assisted software testing across diverse research domains.
A study by MIT researchers found that algorithmic monoculture, like using a single algorithm in hiring, can create informational echo chambers that hinder exploration. However, bundling multiple algorithms together can overcome this limitation, enabling monoculture to perform as well as or better than a polyculture.
University of Tennessee researchers are part of a nearly $1 million project to build a smart food production network, optimizing locally grown food distribution. The project, called DFARM, employs a user-centered software platform to connect community gardens, indoor hydroponic systems, and local food hubs.
Researchers at Graz University of Technology discovered vulnerabilities in file notification systems of various operating systems, allowing tracking of user activities, keystrokes, and password prompts. Patches have been rolled out to address some of the vulnerabilities, but users are still advised to be cautious.
A new approach called mkcheck2 has been developed to improve build dependency verification efficiency and accuracy. It leverages eBPF and incremental analysis to significantly reduce verification time, making continuous integration practical in large-scale projects.
The new textbook, 'From Code to Cloud: Developing Web Applications,' brings together the work of NJIT professors Maura and Fadi Deek and alumnus Wei Yao Ph.D. '24, in completion of a project initiated by late professor James McHugh. The book emphasizes fundamental concepts needed to understand web application development, covering topi...
Researchers have developed a computational framework to design and fabricate crisscross DNA megastructures, expanding accessibility to DNA nanotechnology. This breakthrough enables the construction of complex structures with precise control, opening up new avenues for applications in fields like optics, immunology, and tissue engineering.
The rapid adoption of AI is creating new opportunities to improve open source software, but also placing growing pressure on maintainers. AI can help identify vulnerabilities and develop patches, but its capabilities can also be used by attackers.
Researchers found a strong link between daytime air pollution and nighttime coughing levels, even when pollution levels were below the WHO's recommended daily exposure limit. The dataset, which analyzed cough sounds from 32 cities in 12 countries, suggests that air pollution may be a contributing factor to respiratory issues.
A team of researchers developed an efficient, few-shot learning approach to construct a large-scale light-trapped insect dataset, achieving 79.6% average precision and 85.87% top-1 accuracy in classification. The proposed pipeline improved label quality and annotation efficiency by 80% compared to manual labeling.
The new MSc Computer Science with Artificial Intelligence programme equips learners with advanced technical knowledge and practical skills in AI. The programme combines Heriot-Watt's academic expertise with flexible online delivery, enabling learners worldwide to study alongside work and other commitments.
Researchers developed a novel divide-and-conquer approach for model checking linear temporal properties, called DCA2MC, to address state-space explosion and long verification times. The approach divides the original model checking problem into smaller, independent tasks, reducing memory consumption and verification time.
Three UVA computer science professors, Matthew Dwyer, Sebastian Elbaum, and Mary Lou Soffa, were inducted into the ACM SIGSOFT Software Engineering Academy for their profound impact on the field through research, practice, and education. Their collective work represents decades of contributions to software engineering and the education...
Tianhao Wang receives $677,866 CAREER Award to advance privacy-preserving data synthesis and protect sensitive information from being disclosed. His research aims to create realistic synthetic datasets that preserve useful patterns while protecting individual privacy.
Florida Atlantic University's video compression technology has been acquired by Dolby Laboratories, contributing to the international VVC Video Compression Standard and reducing video data requirements by approximately 50% while maintaining visual quality. The portfolio comprises 683 IP assets, including 250 granted patents worldwide.
A new open-source toolkit called 'egg' has been developed to simplify the process of optimizing software tools, such as compilers and synthesizers. The toolkit uses data structures known as 'equality graphs' to compare different approaches and determine the most efficient configurations.
UniSpec delivers lossless LLM acceleration without retraining while adapting automatically to different hardware platforms and multilingual workloads. The framework achieves up to 2.6× faster inference than existing methods across multiple models, hardware, and languages.
LorMe is an open-source R framework designed to provide a unified approach for standardized microbiome analysis. The platform enables seamless data exchange with widely used microbiome analysis packages, allowing diverse analytical approaches to work together while maintaining flexibility and transparency.
Twenty NII papers were accepted at ACL 2026, including two that won the Best Theme Paper and Outstanding Paper awards. These achievements lay the groundwork for developing trustworthy AI and advancing research in explainability and transparent AI.
A team of researchers, led by Ying Zhang, has developed artificial intelligence-driven tools to identify and attack software vulnerabilities. By teaching AI to generate proof-of-concept exploits, developers can see exactly how attackers could exploit known flaws, motivating them to fix issues before malicious actors do.
NII and Indian Institute of Technology Bombay form a collaboration to advance the research and development of transparent and reliable large language models. BharatGen, an India-based AI initiative, contributes to building an open and inclusive AI ecosystem.
Researchers at King's College London have developed an AI model that can improve a Formula One team's finishing position in simulations of the 2023 Bahrain Grand Prix. The model, which uses reinforcement learning and explainable AI, outperformed existing race strategy optimization techniques in many cases.
The Association for Computing Machinery (ACM) will publish Theory and Practice of Logic Programming (TPLP), an international venue for refereed papers on logic programming. The entire TPLP archive dating back to 2001 will be openly accessible via the ACM Digital Library.
A new framework, VIBEMed, uses multi-agent collaboration to break complex clinical decisions into specialist roles and employs a three-level self-evolution mechanism to improve performance over time. This approach demonstrates superior performance in complex medical reasoning and treatment planning tasks.
A team of researchers developed a method for creating realistic virtual tomato farms that automatically generate data for training agricultural AI systems. The approach uses advanced reconstruction methods and Unreal Engine 5 software to reproduce lighting, textures, and geometry, resulting in highly accurate object detection models.
Researchers found that over half of projects in the popular OpenStack ecosystem are affected by shared instability from “flaky tests”, resulting in a cumulative loss of 1,156 days of developer time. The study identifies environmental and system-level factors as major causes of test instability.
A new DGMoE framework enhances EEG-based emotion recognition by modeling individual differences, achieving high accuracy rates on public datasets. The framework's two-stage selection mechanism and graph-convolution-based expert modules improve robustness and generalization to unseen subjects.
A new AI system, Empirical Research Assistance (ERA), can automatically write scientific software programs that outperform human-written ones. ERA combines a large language model with search strategies to explore and refine thousands of pieces of code, reducing the time required for exploration from months to hours or days.
Monika Henzinger, an Austrian researcher, has made significant contributions to dynamic graph algorithms and web algorithms. She is recognized for her outstanding work in processing large datasets and mentoring the next generation of researchers.
Nicki Washington, a Duke University professor, has been recognized by the Association for Computing Machinery (ACM) for her exceptional commitment to diversifying the computing community. Her mentoring programs have led to increased student success and career opportunities.
Researchers from MIT have developed a more user-friendly and efficient method to identify potential system failures in cloud computing algorithms. The 'MetaEase' technique analyzes an algorithm's source code directly to uncover hidden blind spots that might cause unexpected failures, reducing the risk of costly network outages.
A new human-computer interaction method, RemoteCollabEval (RCE), has been developed to identify barriers to collaboration and inclusivity in remote collaboration software. RCE uses personas to simulate interpersonal friction and uncover 'inclusivity bugs' that may go unnoticed during standard testing.
The report examines how generative AI tools are transforming software development, offering benefits such as increased productivity but also raising security vulnerabilities and technical debt. Strong software engineering practices are still required to ensure systems are secure, reliable, and maintainable.
Researchers have developed a new metagenomic software called nanoMDBG, which enables faster and more accurate analysis of microbial diversity. The software can assemble microbial genomes from nanopore sequencing data, allowing for the tracking of complex microbial communities over time.
Researchers found that firms adopting GitHub Copilot increase hiring of software engineers, with new hires exhibiting more non-programming skills without sacrificing coding ability. The study suggests generative AI is expanding opportunities in the software workforce, not narrowing it.
A recent study from Lancaster University reveals that AI systems like ChatGPT can learn to mirror human impoliteness, potentially escalating into verbal violence. The research tested ChatGPT's ability to respond to real-life impolite interactions, finding it often produces more impolite behavior than humans.
Ricardo Baeza-Yates has made fundamental contributions to computer science through his pioneering work in algorithms and information retrieval. He has fostered a vibrant transnational research community across Latin America, inspiring young people with the South American Programming Contest.
Mississippi State University researchers have developed an updated version of the Forest Valuation and Investment Analysis software program, known as FORVAL-XL, built specifically for Microsoft Excel. The new version includes features such as discounted cash-flow results, sensitivity analyses, and easy-to-read tables and graphs to supp...
The AUMOVIO-NTU Corporate Lab will focus on areas like AI, sustainability, novel materials, and connectivity to develop solutions for safer, smarter, and more sustainable transportation. The joint lab aims to accelerate innovations that can support Singapore's future mobility ecosystem.
A software system, developed by Purdue University researchers, enables users to create a customized digital binder that can be searched and shared resource referrals. The system improves care coordination among health centers and social service organizations.
A research team developed an AI technology that can recognize new actions from only a small number of example videos. The algorithm efficiently summarizes key movement patterns from each video, enabling it to compare actions more effectively and identify similarities and differences accurately.
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.