A class of AI system now entering professional workplaces maintains a persistent, individualised record of how a particular worker works, and adapts its outputs to that record. Existing and proposed Union instruments in this field — the GDPR’s automated-decision provisions, the Platform Work Directive, the AI Act’s hig...
Sean MacNiven· Zenodo (CERN European Organi...· 0 citations
A class of AI system now entering professional workplaces maintains a persistent, individualised record of how a particular worker works, and adapts its outputs to that record. Existing and proposed Union instruments in this field — the GDPR’s automated-decision provisions, the Platform Work Directive, the AI Act’s hig...
Sean MacNiven· Zenodo (CERN European Organi...· 0 citations
The traditional dual-stage warning and dual-grade braking autonomous emergency braking (AEB) control strategy has sudden change in the expected braking deceleration during the switch of working state, which will easily lead to significant longitudinal jerk of the vehicle and affect ride comfort during emergency braking...
Shou-Lin Gao, Xing-Yu Liu, Jian-long Hu et al.· PLoS ONE· 0 citations
This work compares human-written and AI-generated code at scale, characterize structural complexity and statistical naturalness, and map static-analysis findings onto Orthogonal Defect Classification for defects and the Common Weakness Enumeration for vulnerabilities, making authors and languages directly comparable.
Cristina Improta, Pietro Liguori, D. Cotroneo· 0 citations
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The NDT factory is introduced, a multi-agent software system that synthesizes executable behavioral NDTs on demand from semantic models using Large Language Model (LLM), demonstrating reliable synthesis with deterministic, verifiable execution.
Sudipta Acharya, P. Djukic, Burak Kantarci· 0 citations
Software development follows an implementation-verification loop in which developers or agents iteratively revise an implementation until an evaluator, such as a test suite, accepts it. The evaluator checks the implementation against a set of requirements under a model of the deployment environment. Yet even a formal p...
Alexander Krentsel, Shubham Agarwal, M. Cemri et al.· 0 citations
Digital morphology can improve standardization, image traceability, remote consultation, education, proficiency testing, quality assurance, and selected aspects of laboratory workflow.
G. Zini· Clinical Chemistry and Labor...· 0 citations
Version 2.0.0 provides two separate collections of 8,600 persisted probability files each, covering historical and supplementary experiments on the same 43 binary tasks and five seeds. Each NPZ contains validation/test probabilities and aligned binary labels (p_val, p_test, y_val, y_test). No raw feature tables or mode...
Siyu Cai· Zenodo (CERN European Organi...· 0 citations
Cybersickness remains a practical barrier to sustained virtual-reality use because mitigation often begins only after discomfort is reported, while aggressive countermeasures can themselves degrade presence and task performance. This paper presents PAVR, a closed-loop adaptive virtual-reality architecture that reframes...
Md. Amir Khusru Akhtar· Zenodo (CERN European Organi...· 0 citations
Autonomous software agents are increasingly transacting over the HTTP 402 (x402) protocol, yet the empirical economics of machine-to-machine commerce remain largely uncharacterized. The prevailing industry narrative assumes a migration toward multi-dollar, compound transactions. To test this, we analyzed a census-scale...
Oscar Underwood, Roman Kurnovskii· Zenodo (CERN European Organi...· 0 citations
This software accompanies the manuscript “A Method for Characterizing the Reinforcement Environments of Concurrent Schedules.” The Python program generates two-dimensional outcome landscapes for concurrent reinforcement schedules from the Reinforcement Model described in the manuscript. It calculates total reinforcemen...
Fernando Gonzalez· Zenodo (CERN European Organi...· 0 citations
Independent maintained research companion for You Look Nice, but I Am Here to Negotiate: The Influence of Robot Appearance on Negotiation Dynamics. Includes paper-specific protocol configurations, independent scientific tests, hashed reproduction recipes, environment constraints, paper-to-code map and user/contributor...
Onur Keskin· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
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.
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…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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