This is the first paper in a series that studies smooth relative Lie algebra homologies and cohomologies based on the theory of formal manifolds and formal Lie groups. In this paper, we lay the foundations for this study by introducing the notion of...
Due to the limited scale and quality of video-text training corpus, most vision-language foundation models employ image-text datasets for pretraining and primarily focus on modeling visually semantic representations while disregarding temporal semant...
Foundation models pre-trained with self-supervised learning (SSL) on large-scale datasets have become powerful general-purpose feature extractors. However, their immense size and computational cost make them prohibitive for deployment on edge devices...
Foundation models are an emerging research direction in tabular deep learning. Notably, TabPFNv2 recently claimed superior performance over traditional GBDT-based methods on small-scale datasets using an in-context learning paradigm, which does not a...
EarthVision Embed2Scale challenge (CVPR 2025) aims to develop foundational geospatial models to embed SSL4EO-S12 hyperspectral geospatial data cubes into embedding vectors that faciliatetes various downstream tasks, e.g., classification, regression,...
"Concerns have been raised by numerous staff members at this site about the management of the SCP-6113 project." 'The Foundation Is Not Transphobic', by Dr Asteria [https://scp-wiki.wikidot.com...
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. (⭐ 9948)
Repository for Big Iron: Project "Hail Mary" (⭐ 5)
Nov 9, 2010 · Would you have a layer of gravel/stone around the slab foundation acting as: - self-maintained no-weed/ no-grass zone around the house (edging can
In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield. The current machine vision model requires a large volume of data to achieve high perfo...
Multimodal conversational generative AI has shown impressive capabilities in various vision and language understanding through learning massive text-image data. However, current conversational models still lack knowledge about visual insects since th...
We tackle the task of long-form music generation--particularly the challenging \textbf{lyrics-to-song} problem--by introducing YuE, a family of open foundation models based on the LLaMA2 architecture. Specifically, YuE scales to trillions of tokens a...
Foundation House | Mayo Clinic History & Heritage". Mayo Clinic Heritage & History. Retrieved March 6, 2025. Media related to Mayo Foundation House at
Foundation models in digital pathology use massive datasets to learn useful compact feature representations of complex histology images. However, there is limited transparency into what drives the correlation between dataset size and performance, rai...
We introduce [Cosmos-Predict2.5], the latest generation of the Cosmos World Foundation Models for Physical AI. Built on a flow-based architecture, [Cosmos-Predict2.5] unifies Text2World, Image2World, and Video2World generation in a single model and l...
A new standard for decentralized payments. (⭐ 1502)
Development has moved to the FULU Foundation here: https://github.com/FULU-Foundation/CRW-Extension (⭐ 408)
Recent advancements in multimodal foundation models have showcased impressive capabilities in understanding and reasoning with visual and textual information. Adapting these foundation models trained for general usage to specialized domains like biom...
The Servant Foundation, also known as The Signatry, is an American 501(c)(3) non-profit organization funded primarily by anonymous donors, that operates
The San Agustín de Talca Foundation was on May 12, 1742, who ordered its foundation was the Royal Governor of Chile, José Antonio Manso de Velasco and