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 ...

The Tesla Model 3 Standard arrives with fabric seats, 321 miles of range and rear-wheel drive. It's set to cost $36,990, making it one of the most affordable cars Tesla has ever sold, and the cheapest ...

Tesla on Tuesday unveiled plans to sell cheaper alternatives of its Model Y and Model 3 cars, its first product release in years, as Elon Musk’s automaker created more affordable options for its ...

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 ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

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 ...

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.