Verification Engineer
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
HAVE: Host Active Verification Engine for Closing the Contextual Reality Gap in Security Digital Twins
arXiv:2606.06968v1 Announce Type: new Abstract: Security Digital Twins (SDTs) provide continuously updated virtual replicas of infrastructure for threat simulation, yet they rely on theoretical CVSS scores to assign lateral-movement probabilities -- creating the Contextual Reality Gap: risk is overestimated where unacknowledged mitigations neutralize exploits, and drastically underestimated where logic flaws bypass all memory-safety defenses. We present the Host Active Verification Engine...
Federal data on H-1B visa reveals how much base pay Nvidia offers its employees
Federal data on H-1B visas reveals how much Nvidia is paying foreign workers across key roles, underscoring the chipmaker’s determination to attract top talent despite a broader slowdown in tech immigration, according to a report by Business Insider. While rivals like Google and Amazon have back on sponsorship amid the Trump administration’s crackdown, Nvidia obtained certification for roughly 1,200 H‑1B positions in the first half of fiscal 2026 which is up from 1,000 a year earlier. As per...
From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents
arXiv:2606.04967v1 Announce Type: new Abstract: AI tools for programming are no longer just autocomplete or chat assistants: they organize themselves as development frameworks, with process, roles, artifacts and verification. Recent surveys map agents and LLMs for software engineering, but a study centered on the operational frameworks that turn these capabilities into process is missing. We ran a directed search of primary sources, with a functional inclusion criterion and traction...
Generative AI in developing User Experience Research Point of View: A NotebookLM case study
Announce Type: new Abstract: User Experience Research (UXR) is currently undergoing a transition from traditional usability testing towards design-led and data-driven approaches, yet it faces an identity crisis due to a lack of methodological grounding in UXR and time-intensive methodologies which often lag behind product decision cycles. To address this, the UXR Point of View (PoV) framework formalises the UXR process by transitioning from raw data collection to forming an evidence-based...
Zero knowledge verification for frontier AI training is possible
arXiv:2606.05433v1 Announce Type: new Abstract: Frontier AI governance frameworks increasingly use cumulative training compute as the primary criterion for designating high-impact models, but enforcement rests on self-reporting because no technical verification primitive for training exists. Any future international agreement on frontier AI faces the same problem at higher stakes: coordinated regulation of technologies with significant externalities has historically rested on technical...
Automated Conjecture Resolution with Formal Verification
arXiv:2604.03789v2 Announce Type: replace Abstract: Recent advances in large language models have significantly improved their ability to perform mathematical reasoning, extending from elementary problem solving to increasingly capable performance on research-level problems. However, reliably solving and verifying such problems remains challenging due to the inherent ambiguity of natural language reasoning. In this paper, we propose an automated framework that integrates natural language...
Shift from a Leader-Follower to a Leader-Leader Approach
Shift from a Leader-Follower to a Leader-Leader Approach What a U.S. Navy Captain Can Teach Us About Engineering Leadership Even though today we lead people, we've most likely climbed the engineering ladder through technical excellence. Our code was cleaner, architectures more elegant and scalable, and solutions we built did work. Now, when we lead a team of engineers, we may feel that our efficiency has faded.
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
Computer Science > Software Engineering [Submitted on 20 Jan 2026] Title:Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering View PDF HTML (experimental)Abstract:LLM-based Multi-Agent (LLM-MA) systems are increasingly applied to automate complex software engineering tasks such as requirements engineering, code generation, and testing.
Human-AI Collaboration and the Transformation of Software Engineering Work
Announce Type: new Abstract: The integration of Generative AI (GenAI) and Agentic AI into software development is reconfiguring software engineering from an activity centered on human authorship of code into a discipline centered on directing, verifying, and governing autonomous and semi-autonomous systems. Drawing on a curated, multi-source evidence base of recent peer-reviewed and archival studies -- including large-scale empirical observations of autonomous coding agents contributing...
Germans at Russia's SPIEF: Who's really there?
Are German businesses returning to Russia's SPIEF meeting? June 4, 2026This year's St. Petersburg International Economic Forum (SPIEF), which opened on June 3, is the fifth to be held since Russia launched its full-scale invasion of Ukraine in 2022. Before the war, the forum served as a venue for signing major investment agreements with foreign companies.