This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping. AgriFM is a multi-source temporal remote sensing foundation ...

Abstract: Multi-object tracking (MOT) faces persistent challenges owing to the complexities introduced by occlusions, dynamic appearance variations, and the rapid motion of objects within a scene.

Map of Cosmos 1.0 (n=23,544) with highlighted ET100. Utilizing the dimensionality reduction and hierarchical clustering algorithms to visualize the 7 theme tech-clusters of the TA23k in the 2D map.

In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...

Engaging community partners in research meaningfully can guide effective implementation efforts. This approach is particularly crucial when we work with complex, multilevel programs in low-resource ...

We show how reweighting and configuration mapping algorithms can be used to efficiently optimize molecular models using thermodynamic properties at a large number of state points from molecular ...

ACORD, the global standards-setting body for the insurance industry, has announced the launch of the Next-Generation Digital Standards (NGDS) Object Model, designed to streamline digital data exchange ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

SEOUL, Aug 8 (Reuters) - South Korea delayed a decision on Friday on a request from Google for permission to export map data, following U.S. pressure to address what Washington regards as a non-tariff ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...