Social media’s next evolution: user-controlled algorithms

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let ...

A satellite just learned to find things on its own — here’s what that means

In April, for the first time ever, an Earth observation satellite found what it was looking for, all on its own.

Why AI is key to XPENG's plans for self-driving cars

Announcing its launch plans in March, XPENG stated that VLA 2.0 is the first AI driving model with L4 potential in China, ...
IEEE

SINS/RCNS integrated navigation method based on LSTM algorithm for aerospace vehicle

Abstract: We propose a deep-learning-assisted strapdown inertial navigation system (SINS)/refraction celestial navigation system (RCNS) integrated navigation method to control the adverse effects of ...
Nature

MPPT algorithms for grid-connected solar systems including deep learning approaches

Photovoltaic (PV) systems, which are the most abundant renewable resources, convert solar radiation into electricity through solar cells but cannot consistently operate at the Maximum Power Point (MPP ...
Forbes

The LinkedIn Algorithm Changed Again. Here's What's New For 2026

LinkedIn's algorithm has changed, making old tactics obsolete. Align your profile with content topics. Prioritize "saves" as the key engagement metric by creating valuable, referenceable content. Post ...
Scientific Research Publishing

Daungklang, P. and Sathidbhattarasombad, C. (2022) An Experimental Comparison of SES, DES, TES, ARIMA, and LSTM Algorithms for Short Time Series Prediction. Journal of Science ...

ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...
LinkedIn

Stock Price Prediction Using Deep Learning Algorithms (RNN, LSTM and GRU) and Frequency Decomposition

1 Assistant Professor, Department of Financial Engineering, Faculty of Accounting and Financial Sciences, University of Tehran, Tehran, Iran 2 Associate Professor, Department of Financial Engineering, ...
Scientific Research Publishing

Liang, M. and Niu, T. (2022) Research on Text Classification Techniques Based on Improved TF-IDF Algorithm and LSTM Inputs. Procedia Computer Science, 208, 460-470.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Frontiers

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...
IEEE

Geo-LSTM: A Geometry and Temporal Feature Fusion Algorithm for Multi-Sensor 3D Localization

Abstract: Accurate three-dimensional (3D) localization is critical for robust human-robot collaboration (HRC) in dynamic indoor environments. However, realizing high-precision localization in complex ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...