AI adoption has accelerated at a pace few technology shifts can match. In just a short time, AI model capability has improved sharply, costs have come down and entirely new product experiences have ...

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 ...

ABSTRACT: This research develops a novel cross-disciplinary framework that bridges financial systemic risk modeling with supply chain network analysis to advance resilience assessment and policy ...

In autonomous driving, high-definition (HD) maps and semantic maps in bird's-eye view (BEV) are essential for accurate localization, planning, and decision-making. This paper introduces an enhanced ...

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...

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, ...

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

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.

In today's digital world, cyber threats challenge governments, business, critical infrastructure, and individuals. As these threats grow more frequent and complex, organizations must enhance their ...