AI uncovers double-strangeness: A new double-Lambda hypernucleus

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
IEEE

Efficient Algorithm of Contraction High-Order Born Approximation on LWD Ultra-Deep Resistivity Measurement in 3-D Anisotropic Formation

Abstract: With the development of computation methods and the requirement of data processing, it is often required to execute electromagnetic (EM) simulations in a lot of different complex formation ...
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
IEEE

RNN Online Learning-Based Fixed-Time Prescribed Performance Formation Control for Networked Heterogeneous HFV Under Event-Triggered Communication

Abstract: This article investigates online learning-based fixed-time prescribed performance collaborative formation control for swarm heterogeneous hypersonic flight vehicles (HFVs) with multiple ...

Researchers co-develop new deep learning platform to advance precision medicine

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...