CybAI news

[Submitted on 21 Nov 2024] View a PDF of the paper titled Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net, by Sanaz Mahmoodi Takaghaj and 1 other authors View PDF HTML (experimental) Abstract:Recent advancements in machine learning, particularly through deep learning architectures like PointNet, have transformed the processing of three-dimensional (3D) point clouds, significantly improving 3D object classification and segmentation tasks. While 3D point clouds provide detailed spatial information, spatio-temporal signals introduce a dynamic element that accounts for changes over time. However, applying deep learning techniques to spatio-temporal signals and deploying them on edge devices presents challenges, including real-time…

[Submitted on 2 Oct 2024 (v1), last revised 22 Nov 2024 (this version, v2)] View a PDF of the paper titled Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension, by Zaiquan Yang and 4 other authors View PDF HTML (experimental) Abstract:This paper explores the weakly-supervised referring image segmentation (WRIS) problem, and focuses on a challenging setup where target localization is learned directly from image-text pairs. We note that the input text description typically already contains detailed information on how to localize the target object, and we also observe that humans often follow a step-by-step comprehension process (ie, progressively utilizing target-related…

[Submitted on 9 May 2024 (v1), last revised 22 Nov 2024 (this version, v3)] View a PDF of the paper titled Natural Language Processing RELIES on Linguistics, by Juri Opitz and Shira Wein and Nathan Schneider View PDF HTML (experimental) Abstract:Large Language Models (LLMs) have become capable of generating highly fluent text in certain languages, without modules specially designed to capture grammar or semantic coherence. What does this mean for the future of linguistic expertise in NLP? We highlight several aspects in which NLP (still) relies on linguistics, or where linguistic thinking can illuminate new directions. We argue our case…

(Tee11/Shutterstock) Companies that are running into performance walls as they scale up their vector databases may want to check out the latest update to Zilliz Cloud, a hosted version of the Milvus database from Zilliz. The database maker says the update brings a 10x boost in throughput and latency, three new search algorithms that improve search accuracy from 70% to 95%, and a new AutoIndexer that eliminates the need to manually configure the database for peak performance on each data set. Interest in vector databases is booming at the moment, thanks in large part to the explosion in use of…