Articles tagged with Computer Programming
The team created a method to form dome-shaped bumps on nanofilms in water using a computer-guided electron beam, which can be flattened, reshaped, or repositioned as needed. The technology has potential applications in cell movement and nanorobot power systems.
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.
University of Jaume I students Pau Montagut and Mario García won first place at the ICRA 2026 robotics conference with an AI model that taught a Toyota HSR robot to perform household tasks. The team's achievement is notable given their undergraduate status, competing against teams of research personnel.
Devadas pioneered the field of hardware security, making foundational contributions to Trusted Execution Environments (TEEs), Physical Unclonable Functions (PUFs), and Side Channel Resistant Processors. His innovations have shaped both academia and industry, safeguarding data in a digital world.
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 study published in Scientific Reports found that programmers' brains exhibit brain activity similar to those caused by unexpected turns in conversation when encountering confusing code snippets. The research team used EEG and eye-tracking data to analyze the brain patterns, revealing a striking pattern known as late frontal positivity.
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.
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.
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.
Matei Zaharia's work on open-source systems like Apache Spark, Delta Lake, and MLflow has enabled large-scale machine learning, analytics, and AI at global scale. His innovations have made scalable computing accessible to researchers, nonprofits, and enterprises across every industry.
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.
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.
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.
The ACM's Technology Policy Council has issued a report on automated speech recognition (ASR) highlighting the need for rigorous audit and governance practices. The report raises concerns about technological bias, inequity, and lack of transparency in ASR 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 ...
Researchers found that the brain's logical reasoning network was active before learning to code, and continued to engage strongly after acquiring Python skills. This suggests that humans can repurpose cognitive areas involved in reasoning to learn computer programming.
A qualitative interview study with 21 international participants explored the opportunities and challenges of cryptographic update processes. Software developers face unique security risks when updating crypto implementations, which can lead to a single point of failure in the supply chain.
Researchers have discovered a code-reuse attack capable of exploiting C++ coroutines across three major compilers, including those protected by Control Flow Integrity. The attack, called Coroutine Frame-Oriented Programming (CFOP), chains together existing functions to achieve arbitrary code execution.
A new software tool called VR-Omics has the potential to further our understanding of other childhood diseases. The technology can identify previously undetected cell activities of cardiac rhabdomyoma, a type of benign heart tumour that can cause respiratory distress and irregular heartbeat.
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.
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 found that playing certain commercial video games increased students' confidence in their ability to pass a programming course. The games, Human Resource Machine and 7 Billion Humans, presented puzzles that required programming commands, promoting computational thinking. The study's results suggest that playing these games ...
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.
The Flatiron Institute's Center for Computational Astrophysics is now supporting MESA's ongoing maintenance and development after its creator Bill Paxton steps down. The center has hired Philip Mocz as a full-time software engineer to ensure MESA's continued growth and impact in stellar physics.
A University of Oklahoma researcher is developing a new coding language and computing infrastructure to tackle the increasing complexity of big data. The goal is to create more efficient algorithms for processing sparse and irregular data, which are challenging to manage using traditional tools.
A new software package called TraitTrainR offers a framework for replicating the evolutionary process many times over. It can perform flexible evolutionary experiments through probabilistic simulations on a computer, allowing researchers to generate thousands-to-millions of evolutionary replicates.
Researchers at Universitat Oberta de Catalunya have designed ZIRCON, a system to guarantee the integrity and origin of data in IoT networks. The innovative method uses a zero-watermarking technique without modifying the original data, ensuring tamper-proof transmission over the network.
Researchers at IMDEA Software developed FIXCHECK, a method combining static analysis and large language models to generate tests detecting bugs in incorrect patches. The approach was evaluated on 160 patches, yielding 62% effective bug detection results.
A new study identifies six best practices for addressing non-functional requirements (NFRs) to ensure software security and performance. The research highlights the importance of NFRs in determining software quality and success, and how developers discuss and manage these requirements.
Research from Texas McCombs finds that developers who multihome their software attract more users to the original product, improving its performance and standing out in the market. The study also shows that multihoming can lead to a 5.3% increase in average monthly usage for similar products.
Researchers from Mainz University and the University of Chile are developing a new technique called Gradual Abstract Interpretation to improve program analysis methods and detect security vulnerabilities in WebAssembly. They aim to identify and address security vulnerabilities while eliminating redundant protective measures.
Konstantinos Mamouras, assistant professor of computer science at Rice University, has been awarded a $547,555 NSF CAREER Award to decentralize IoT applications and relieve network congestion. He aims to introduce novel programming techniques that enable efficient and reliable IoT development.
A new tool called VFCFinder analyzes open-source software updates to pinpoint specific code sections being modified to address security vulnerabilities. This helps programmers determine which updates are necessary without unnecessary changes.
The selected research project aims to develop a lightweight edge AI-based technology for jointly exploiting wireless communications and sensing in smart factories. It will enable high-quality wireless communications even under challenging situations.
Professor Sebastian Erdweg aims to automatically incrementally compute software for significant energy savings. His new project AutoInc seeks to overcome fundamental limitations of existing approaches, promising enormous improvements in efficiency.
Researchers from SUTD successfully applied reinforcement learning to a video game problem, creating complex movement designs that outperformed top human players. The study's findings have the potential to impact robotics and automation, ushering in a new era of movement design.
Researchers at the University of Washington have developed an underwater 3D-positioning app for smart devices, allowing divers to accurately track each other's locations. The app uses acoustic signals and timestamps to estimate diver distances and locations, improving accuracy with more devices in the network.
A new UH study reveals that third-grade girls are initially enthusiastic about coding and computer science, with equal interest and confidence as boys. However, by middle school age, negative stereotypes and a decrease in confidence among girls become prevalent, limiting their participation in these fields.
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 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 team has developed a coupled dipole method-based photonic dispersion solver (CDPDS) online, enabling fast computation and accessibility to general users. The CDPDS provides band dispersions and topological phases of one-dimensional and two-dimensional photonic crystals, making it suitable for rapid simulations and modeling.
Shuttle Revolution, a 2.5D badminton fighting game developed by Head Empty Studios, has won the top prize in the Tranzfuser competition. The team plans to continue developing the game with paid content and explore careers as indie devs.
The proposed project relies on Tensor Network Theory (TNT) to calculate multidimensional problems, offering a less expensive and intensive method than standard computing. Researchers aim to successfully simulate turbulence in compressible fluids and combustion chemical reactions.
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 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 developed a new method using smartphone vibration motor and camera to monitor blood clots, with accuracy similar to commercially available techniques. The device can be used at home, making it easier for patients to test their PT/INR levels, potentially reducing the need for frequent clinical visits.
A recent study by Shinshu University explores the early adoption of GitHub Discussions, revealing its utility for managing project discussions and identifying key factors for improvement, including guidelines for participation and encouraging core members.
A new study from Cornell University uses digital twins to identify optimal times and locations for detecting Listeria bacteria in produce facilities, reducing the risk of contamination. The researchers' model provides a novel way for food safety managers to visualize microbial contamination risks and experiment with different sampling ...
A team of researchers, led by University of Houston associate professor Ryan Kennedy, has received a $750,000 NSF grant to create an algorithm-accountability benchmark. The project aims to establish general ways of analyzing algorithms and studying their impact on public policy decisions.
A team of scientists from Incheon National University developed a programmable DNA-based microfluidic chip that can perform complex mathematical calculations, such as Boolean logic operations. The chip uses a motor-operated valve system to execute a series of reactions in rapid and convenient manner.
Researchers at Clemson University found that dance choreography enhances girls' computational thinking skills by blending movement and computer programming. The Virtual Environment Interactions (VEnvI) software and curriculum engages fifth- and sixth-grade girls in coding and computational thinking.
Maya Ahmed developed methods to construct Franklin's squares and others of the same type, with applications in computer programming. She discovered a way to reconstruct Franklin's three original squares and created new ones that obey the same rules.