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3,069 papers
perfSONAR provides federated network measurement and is deployed at thousands of universities, research labs, and education networks, but turning it into repeatable measurement setups depends on pSConfig templates: JSON documents that link addresses, groups, tests, etc. Writing them by hand is error-prone and hard to r...
Research Software Engineering (RSEng) is grounded in the belief that better software enables better research. Generative AI could substantially accelerate and expand the scope of research software development, but it also risks producing software that is easier to generate than to understand, validate, or maintain. Thi...
Big picture. LuSEE-Night is a joint NASA-DOE pathfinder mission whose goal is to place a low-frequency radio spectrometer on the far side of the Moon. Measurements of the redshifted 21-cm signal from the cosmological Dark Ages would be a major advance in cosmology. The far side is uniquely suited to this measurement—th...
Big picture. LuSEE-Night is a joint NASA-DOE pathfinder mission whose goal is to place a low-frequency radio spectrometer on the far side of the Moon. Measurements of the redshifted 21-cm signal from the cosmological Dark Ages would be a major advance in cosmology. The far side is uniquely suited to this measurement—th...
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AI coding agents have moved from curiosities to capable collaborators in only a few years [4,5]. Early evidence was mixed [2,5], and as late as 2025 studies showed limited success on real software tasks that varied by domain and developer experience [1]. Over the period we report on (November 2025 – August 2026), both...
Developing and testing software for regulated patient data such as Medicare claims is structurally expensive. Tooling work must occur inside credentialed, audited computing enclaves, where libraries and tools require approval before they can even be tried. This makes pipeline development and debugging far slower and mo...
Scientific software drives computational science, yet developing sustainable and reproducible code remains a major challenge for many research teams. Because many scientists lack formal software engineering training, research teams often struggle to adopt vital best practices. As a result, developers frequently create...
Software rots. Between refactors for new features, bug fixes, the continual march of cybersecurity advisories, and the slow drift of dependencies toward end-of-life, code must change or cease to exist. The simple act of keeping up can be overwhelming for research software engineers tasked with maintaining long-lived sc...
Scientific user facilities like the Linac Coherent Light Source (LCLS), the world’s brightest X-ray free-electron laser at the SLAC National Accelerator Laboratory, require rapid, continuous control adjustments to maximize beam time and experimental throughput. Machine Learning (ML) surrogate models can help operators...
In the early 2010s, the Software Sustainability Institute defined sustainability as "software you use today will be available — and continue to be improved and supported — in the future" [1, 2]. Sustainable research software has enabled research that would otherwise be infeasible. The pursuit of sustainability continue...
This presentation offers a longitudinal, practice-driven exploration of AI-assisted software development, highlighting key lessons learned and their application across two Research Software Engineering organizations and ten projects at Georgia Tech. We examine the use of AI throughout the software development lifecycle...
AI-assisted development tools can reduce friction in routine software work, but generation speed alone does not establish software quality. In research software engineering, AI-assisted changes still need to be reviewable, reproducible, maintainable, and usable across contributors and environments. This talk presents a...
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
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