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RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models
arXiv:2606.08976v1 Announce Type: new Abstract: LLM-based RTL generation and reasoning is a promising direction for hardware design automation. High-quality benchmarks are critical infrastructure for tracking progress in this direction. However, existing RTL benchmarks face inherent limitations in both scale and task scope.
Overcoming Challenges in Agile and DevOps Integration: A Qualitative Study
arXiv:2606.01676v1 Announce Type: new Abstract: In response to the growing reliance on Agile and DevOps methodologies for enhancing software delivery speed and quality, this study investigates the persistent challenges and viable solutions associated with their integration. Although Agile promotes iterative development and customer responsiveness, and DevOps emphasizes automation and operational efficiency, their convergence in practice often presents significant organizational, structural,...
Energy transport corridors to Europe boosted by AI and new digital systems
AI and new digital technologies are key to the urgently needed alternative energy trade routes through the Southern Gas Corridor and the Middle Corridor systems connecting the Caspian and Europe. The Southern Gas Corridor and the rapidly developing Middle Corridor trade routes connecting Asia to Europe through the Caspian region are emerging as strategic energy transport bridges amid global disruptions, but these energy transit systems and their security require urgent investments in...
Norks blast 250+ fake job offers to developers over 6 weeks to try and snarf creds and crypto
There's another likely North Korean-linked scam hitting developers and their employers, while snarfing up credentials and cryptocurrency - and this one doesn't even involve embedding IT workers at high-profile tech giants. A previously unseen phishing crew, suspected to have DPRK ties, sent more than 250 emails to people working in almost 100 organizations, mostly based in the US, over six weeks in April and May. According to security sleuths, it is yet another digital-heist attempt designed...
AI and energy security drive investment focus at Baku Energy Week 2026
Baku Energy Week 2026 showcased how AI, digitalisation and regional gas diplomacy are reshaping the global energy sector, as companies and officials increasingly focus on competitiveness, energy security and cleaner technologies. Artificial intelligence, upstream investment and gas security have led the conversation at Baku Energy Week 2026, as global energy companies used the annual gathering in Azerbaijan to showcase how the sector is adapting to geopolitical uncertainty. Across two...
CodegenBench: Can LLMs Write Efficient Code Across Architectures?
arXiv:2606.04023v1 Announce Type: new Abstract: While large language models (LLMs) have been extensively evaluated on code generation tasks for general-purpose programming and GPU-accelerated environments (e.g., PyTorch, CUDA), their capabilities in CPU-oriented high-performance computing (HPC) across diverse architectures remain underexplored. To bridge this gap, we introduce CodegenBench, a comprehensive benchmark suite designed to evaluate the generation of efficient parallel code across...
US shortens cyber fix window to three days as AI threats rise
US shortens cyber fix window to three days as AI threats rise WASHINGTON, June 10 : The U.S. cyber defense agency said on Wednesday that government officials now have three days to deal with the most serious categories of digital vulnerabilities in their networks, a compressed timeline that is due in part to hackers' use of artificial intelligence. The deadline, which was set in a new directive issued by the Cybersecurity and Infrastructure Security Agency, obligates civilian federal...
Launch HN: Intuned (YC S22) – Build and run reliable browser automations as code
Hey HN, we're Faisal and Ahmad from Intuned (https://intunedhq.com). We’re building a platform for building, deploying, and maintaining browser automations. Customers primarily use the Intuned AI agent to automate websites that don't expose APIs.
Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
arXiv:2606.05710v1 Announce Type: new Abstract: The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and automated decision-making systems are becoming a key part of the operation of critical infrastructure systems, including energy, healthcare, transportation, financial services, and communication...
Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis
arXiv:2605.30734v1 Announce Type: new Abstract: Malaria remains a leading cause of mortality in sub-Saharan Africa, where scarce diagnostic infrastructure makes timely, accurate diagnosis particularly challenging. While deep learning offers a compelling path toward automated malaria screening, clinical adoption is hindered by computational cost and opacity in decision-making. This work benchmarks four deep learning models spanning a wide range of designed design architectures and model...