From sensors to smart systems: the rise of AI-driven photonic noses

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Hyper3D Enhances Production Workflows with AI Image to 3D and Text to 3D Generation Tools

Hyper3D, the platform developed by Deemos Tech, offers a suite of AI-powered generation tools that process various input types to produce 3D models for use in gaming, film, and digital media ...

AI sharpens satellite eyes on air pollution

Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...
IEEE

Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis

Abstract: We investigate the impact of high-order moments on the learning dynamics of an online Independent Component Analysis (ICA) algorithm under a high-dimensional data model composed of a ...

Seeing the whole from a part: Revealing hidden turbulent structures from limited observations and equations

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
EurekAlert!

Big Earth Data researchers set a new global standard for earth data grids

Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid ...
IEEE

Neural Networks-Incorporated Latent Factor Analysis for High-Dimensional and Incomplete Data

Abstract: high-dimensional and incomplete (HDI) matrices are commonly encountered in a variety of big data-related industrial applications, which describe complex interactions between entities. The ...
techtimes

Gopala Krishna Subraya Pai: Transforming Data Modeling Through Artificial Intelligence

In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose innovative integration of Artificial Intelligence (AI) with Dimensional and ...
Frontiers

An interpretable machine learning model for predicting sepsis risk in ICU patients with non-traumatic subarachnoid hemorrhage: development and validation using the MIMIC-IV ...

1 Graduate School of Xinxiang Medical University, Xinxiang, China 2 Department of Neurosurgical Intensive Care Unit, Henan Provincial People’s Hospital, Zhengzhou, China Objective: This study aimed to ...