In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...

Exegy, a leading provider of market data and trading technology, has released Part II of its whitepaper series, The True Cost ...

Discover the key differences in performance, AI, battery life, and design to choose the best model for your needs.

Pep Guardiola has transformed the Manchester City team into a footballing machine, demonstrating a consistent pattern of ...

San Francisco 49ers vs. New York Giants preview. See odds, player props (McCaffrey, Kittle), and the expert's 59% win ...

Abstract: Modeling and controlling aircraft can be particularly challenging when the system is highly nonlinear or only partially understood. While data-driven approaches can be promising in this ...

Several posters and presentations featuring new data on three ACLF programs, including G1090N (NTZ reformulation) disease model data, new ...

Abstract: To address the challenge of multitarget parameters and nonstationary data streams in industrial data modeling, this article proposes a multitarget online fuzzy stochastic configuration ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional sensor-based approaches, according to a recently ...

As transportation and tech companies became increasingly intertwined over the past 20 years, private sector and open source data has exploded, Jinhua Zhao, professor of cities and transportation at ...

This repository contains the official source code for the paper "Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments". This project conducts a systematic ...

Hydrological models are widely used to assess climate change effect on water resources at the catchment scale. However, data scarcity is one of the main challenges faced by hydrological modelers ...