IEEE

A Hybrid LSTM-GRU Model for Stock Price Prediction

Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...
Gizmodo

DeepMind’s New AI Can Read a Million DNA Letters at Once—and Actually Understand Them

Artificial intelligence has gotten a bad reputation lately, and often for good reason. But a team of scientists at Google’s DeepMind now claims to have found a revolutionary use case for AI: helping ...
Scientific Research Publishing

Gold Price Prediction Based on LSTM-Attention Combined Model ()

This paper explores effective methods for predicting gold prices, proposing three modeling strategies: a standalone Long Short-Term Memory (LSTM) network, a Convolutional Self-Attention (CSA) Network, ...
GitHub

LSTM-based Sequence-to-Sequence Chatbot

Long Short-Term Memory (LSTM) network with sequence-to-sequence architecture for building conversational chatbots with attention mechanism. lstm-chatbot/ ├── README.md ├── FEATURES.md # Additional ...
devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...
American Banker

Seeking better results, FICO launches bank-specific AI models

FICO, the eponymous credit score provider, announced three artificial intelligence language models for financial services firms on Tuesday: Focused Foundation Model, Focused Language Model and Focused ...
IEEE

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
GEN

BindCraft AI Model Achieves One-Shot Functional Protein Design

For the field of drug development, hitting the right target with atomic precision to achieve therapeutic effect remains the core challenge. While traditional R&D pipelines are dependent on ...
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 ...