Viral News - CybAI news

20 Nov

Large Language Models for Combinatorial Optimization of Design Structure Matrix

stp2y0 CommentsViral News

arXiv:2411.12571v1 Announce Type: cross Abstract: Combinatorial optimization (CO) is essential for improving efficiency and performance in engineering applications. As complexity increases with larger problem sizes and more intricate dependencies, identifying the optimal solution become challenging. When it comes to real-world engineering problems, algorithms based on pure mathematical reasoning are limited and incapable to capture the contextual nuances necessary for optimization. This study explores the potential of Large Language Models (LLMs) in solving engineering CO problems by leveraging their reasoning power and contextual knowledge. We propose a novel LLM-based framework that integrates network topology and domain knowledge to optimize the sequencing…

20 Nov

Monte Carlo Brings GenAI to Data Observability

stp2y0 CommentsViral News

(Treecha/Shutterstock) Monte Carlo has made a name for itself in the field of data observability, where it uses machine learning and other statistical methods to identify quality and reliability issues hiding in big data. With this week’s update, which it made during its IMPACT 2024 event, the company is adopting generative AI to help it take its data observability capabilities to a new level. When it comes to data observability, or any type of IT observability discipline for that matter, there is no magic bullet (or ML model) that can detect all of the potential ways data can go bad.…

20 Nov

Multi-LoRA Composition for Image Generation

stp2y0 CommentsViral News

[Submitted on 26 Feb 2024 (v1), last revised 19 Nov 2024 (this version, v2)] View a PDF of the paper titled Multi-LoRA Composition for Image Generation, by Ming Zhong and 8 other authors View PDF HTML (experimental) Abstract:Low-Rank Adaptation (LoRA) is extensively utilized in text-to-image models for the accurate rendition of specific elements like distinct characters or unique styles in generated images. Nonetheless, existing methods face challenges in effectively composing multiple LoRAs, especially as the number of LoRAs to be integrated grows, thus hindering the creation of complex imagery. In this paper, we study multi-LoRA composition through a decoding-centric perspective.…

20 Nov

3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality

stp2y0 CommentsViral News

arXiv:2411.12514v1 Announce Type: cross Abstract: Indoor SLAM often suffers from issues such as scene drifting, double walls, and blind spots, particularly in confined spaces with objects close to the sensors (e.g. LiDAR and cameras) in reconstruction tasks. Real-time visualization of point cloud registration during data collection may help mitigate these issues, but a significant limitation remains in the inability to in-depth compare the scanned data with actual physical environments. These challenges obstruct the quality of reconstruction products, frequently necessitating revisit and rescan efforts. For this regard, we developed the LiMRSF (LiDAR-MR-RGB Sensor Fusion) system, allowing users to perceive the in-situ…

20 Nov

Child Speech Recognition in Human-Robot Interaction: Problem Solved?

stp2y0 CommentsViral News

[Submitted on 26 Apr 2024 (v1), last revised 19 Nov 2024 (this version, v2)] View a PDF of the paper titled Child Speech Recognition in Human-Robot Interaction: Problem Solved?, by Ruben Janssens and 5 other authors View PDF HTML (experimental) Abstract:Automated Speech Recognition shows superhuman performance for adult English speech on a range of benchmarks, but disappoints when fed children's speech. This has long sat in the way of child-robot interaction. Recent evolutions in data-driven speech recognition, including the availability of Transformer architectures and unprecedented volumes of training data, might mean a breakthrough for child speech recognition and social robot…

20 Nov

Cloudera Enhances Data Catalog and Metadata Management with Octopai Acquisition

stp2y0 CommentsViral News

Cloudera, an enterprise data cloud solutions provider, has agreed to acquire Octopai’s data lineage and catalog platform. The acquisition is expected to be completed by the end of this month. This move significantly enhances Cloudera’s data catalog and metadata management capabilities. The struggle to achieve comprehensive data intelligence is a fundamental challenge faced by enterprises in a data-driven world. This issue is especially pronounced in highly regulated industries, such as finance, healthcare, and telecommunications. Organizations often struggle to gain data visibility over multiple data solutions across hybrid environments. Cloudera aims to address the current fragmented state of enterprise data by…

20 Nov

Hypergraph $p$-Laplacian equations for data interpolation and semi-supervised learning

stp2y0 CommentsViral News

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol

20 Nov

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

stp2y0 CommentsViral News

[Submitted on 11 Apr 2024 (v1), last revised 19 Nov 2024 (this version, v4)] View a PDF of the paper titled ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback, by Ming Li and 6 other authors View PDF HTML (experimental) Abstract:To enhance the controllability of text-to-image diffusion models, existing efforts like ControlNet incorporated image-based conditional controls. In this paper, we reveal that existing methods still face significant challenges in generating images that align with the image conditional controls. To this end, we propose ControlNet++, a novel approach that improves controllable generation by explicitly optimizing pixel-level cycle consistency between generated images…

20 Nov

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

stp2y0 CommentsViral News

[Submitted on 9 Nov 2023 (v1), last revised 19 Nov 2024 (this version, v2)] Authors:Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu View a PDF of the paper titled A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions, by Lei Huang and 10 other authors View PDF HTML (experimental) Abstract:The emergence of large language models (LLMs) has marked a significant breakthrough in natural language processing (NLP), fueling a paradigm shift in information acquisition. Nevertheless, LLMs are prone to hallucination, generating plausible…

20 Nov

Pentaho President Maggie Laird Discusses Company’s Return to Data Management Roots

stp2y0 CommentsViral News

The AI boom is forcing companies to come to grips with an uncomfortable reality: Their data is not well managed. That’s good news for data intelligence companies like Pentaho, which is refocusing its efforts on data management and governance under Maggie Laird, who was promoted to president of the Hitachi-Vantara subsidiary in April. Laird recently joined the Big Data Debrief to chat about the impact of AI on data management, the massive opportunity it poses for data intelligence, and the new direction she is leading Pentaho to monetize that opportunity and help customers come to grips with their big data…