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 evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).

“Our research shows that there’s strong demand for storage consumption models in Europe,” said Luis Fernandes, Senior Research Manager, IDC. “Organizations want to free up staff for higher-value work ...

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 ...

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 ...

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, ...

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: Aiming at the problem of insufficient observation information in estimating forest height using single-baseline and single-polarization twin-satellite InSAR data, a semi-empirical model ...