CybAI news

[Submitted on 19 Nov 2024 (v1), last revised 22 Nov 2024 (this version, v2)] View a PDF of the paper titled From Text to Pose to Image: Improving Diffusion Model Control and Quality, by Cl'ement Bonnet and 5 other authors View PDF HTML (experimental) Abstract:In the last two years, text-to-image diffusion models have become extremely popular. As their quality and usage increase, a major concern has been the need for better output control. In addition to prompt engineering, one effective method to improve the controllability of diffusion models has been to condition them on additional modalities such as image style,…

arXiv:2411.14476v1 Announce Type: new Abstract: Geospatial predictions are crucial for diverse fields such as disaster management, urban planning, and public health. Traditional machine learning methods often face limitations when handling unstructured or multi-modal data like street view imagery. To address these challenges, we propose StreetViewLLM, a novel framework that integrates a large language model with the chain-of-thought reasoning and multimodal data sources. By combining street view imagery with geographic coordinates and textual data, StreetViewLLM improves the precision and granularity of geospatial predictions. Using retrieval-augmented generation techniques, our approach enhances geographic information extraction, enabling a detailed analysis of urban environments. The…

In the rapidly evolving landscape of AI, organizations across all industries are eager to harness its transformational power. However, successful AI utilization and adoption require more than technological investment - it demands a holistic approach that balances cutting-edge technology with strategic skill development. While data quality and management are undoubtedly top-of-mind for a majority of leaders, the often-overlooked key to AI success lies in the human element: cultivating the right talent and organizational culture to effectively integrate and leverage AI capabilities at scale.Recent research from MIT Sloan Management Review shows that while 94% of C-suite executives plan to increase technology…

[Submitted on 30 Jun 2024 (v1), last revised 21 Nov 2024 (this version, v2)] View a PDF of the paper titled GC-Bench: An Open and Unified Benchmark for Graph Condensation, by Qingyun Sun and 8 other authors View PDF HTML (experimental) Abstract:Graph condensation (GC) has recently garnered considerable attention due to its ability to reduce large-scale graph datasets while preserving their essential properties. The core concept of GC is to create a smaller, more manageable graph that retains the characteristics of the original graph. Despite the proliferation of graph condensation methods developed in recent years, there is no comprehensive evaluation…