AI-Driven Research Systems
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Don't Gamble, GAMBLe: An Analytical Framework for AI-Driven Research Systems
arXiv:2606.02863v1 Announce Type: new Abstract: AI-Driven Research Systems (ADRS) -- systems coupling LLMs with automated evaluation to discover algorithms, proofs, and designs -- are being optimized and adopted across domains, but the tools to analyze them have not kept pace. ADRS performance depends on component interactions that are poorly understood, expensive to explore, and (as we show) not well captured by standard convergence guarantees. These guarantees rely on structural...
ZTE showcases AI-driven project management innovations at the 14th IPMA Research Conference 2026
ZTE Corporation today showcased its pioneering achievements in digital transformation and AI-driven project management at the 14th IPMA Research Conference in Bogotá, Colombia. During the conference, Wang Yuzhu, Managing Director of Engineering Services at ZTE Colombia, and Jose Perez, Senior Expert in Engineering Delivery Management at ZTE, delivered a keynote speech themed "The Digital and Intelligent Future of Project Management", highlighting ZTE's practical experiences and innovative...
Twelve quick tips for designing AI-driven HPC workflows
Announce Type: new Abstract: High-performance computing (HPC) clusters remain the backbone of large-scale scientific computation, traditionally executing deterministic, linear pipelines optimised for predictable performance. However, the pervasive integration of artificial intelligence (AI) and foundation models into scientific research has introduced a fundamentally new computational paradigm. AI-driven workflows are characteristically iterative, data-driven, and probabilistic, introducing...
DigMethpy: An AI-driven platform for accelerating methane pyrolysis catalyst discovery
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AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps
arXiv:2606.06563v1 Announce Type: new Abstract: Software testing is critical for verifying that systems meet specified requirements, yet remains among the most time-consuming and expensive activities in development. Requirements-based test generation allows test cases to be derived early from requirements artifacts, but generating them directly from natural language is challenging due to inherent ambiguity and imprecision. Recent advances in AI, natural language processing (NLP), and large...
Extending the UXR Point of View Pyramid: A Generative AI-Augmented Methodology for Human-Centred AI Systems
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Nvidia partners with LG robotics to build humanoid robots in South Korea
NVIDIA and LG Group are building an AI factory to accelerate LG Group’s next wave of AI-driven businesses, spanning robotics, autonomous driving, data center technologies and GPU cloud services. The AI factory will provide LG Group with accelerated computing infrastructure to train, simulate, validate and deploy AI-based applications across its key businesses. The collaboration brings together NVIDIA’s full-stack, end-to-end AI factory platform with LG Group’s global leadership in consumer...
GraftDB: Dynamic Folding of Concurrent Analytical Queries
arXiv:2606.04303v1 Announce Type: new Abstract: Analytical database systems serve as foundational infrastructure for knowledge discovery across many domains. Day after day, researchers, practitioners, and increasingly AI-driven agents issue analytical queries, inspect their results, and refine their inquiries. An analytical database system thus receives and processes diverse analytical queries that arrive over time and execute concurrently.
Mapping the AI narrative in Kenya and South Africa's media
Mapping the AI narrative in Kenya and South Africa's media A new study by the Centre for Information Integrity in Africa (CINIA) at Stellenbosch University, supported by DW Akademie, takes a critical look at how artificial intelligence (AI) is covered in Kenyan and South African media. The research, titled "AI in the Media: Kenya and South Africa", analyses 57 articles and draws on two rounds of journalist interviews over a five-year period (2021-2026). The research finds that AI remains...
HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
arXiv:2606.01686v1 Announce Type: new Abstract: As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple track generation, these advancements have catalyzed the adoption of AI-driven methodologies in diverse forms. These include vocal synthesis, arrangement, and professional mastering.