IEEE

Efficient Joint Transmit and Receive Beam Alignment via Sequential CNN LSTM Networks

Abstract: This paper introduces a deep learning-assisted joint transmit and receive beam tracking approach for uplink multiple-input multiple-output (MIMO) communication over millimeter wave (mmWave) ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
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, ...
IEEE

Deploying CNN-Bi LSTM Model for Talent Acquisition Analytics in HR Management

Abstract: Talent Acquisition Analytics is a special area within HR Management to analyse and put into practice. With these techniques, analysts are able to make accurate decisions in recruitment and ...
C&EN

Research on Remaining Useful Life Prediction of PEMWE Stack Based on the LSTM-iTransformer Model

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...
GitHub

jitendra663735/molgen-lstm-rl

A deep learning pipeline for de novo molecular generation using LSTM and reinforcement learning (REINFORCE), with support for fragment-based control and automated molecule evaluation. This project ...
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 ...
Forbes

Banking On Trust: FICO Launches Financial Foundation Models

While much of the activity in the AI markets are focused on the tech giants chasing ever-increasing model sizes and compute budgets, financial company FICO is going the other way with smaller, smarter ...
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 ...
GitHub

NCRF++: An Open-source Neural Sequence Labeling Toolkit

Sequence labeling models are quite popular in many NLP tasks, such as Named Entity Recognition (NER), part-of-speech (POS) tagging and word segmentation. State-of-the-art sequence labeling models ...