Rochester Institute of Technology

Predictive Analysis on Stock Market Data using Sentiment Analysis and Long Short-Term Memory (LSTM) Neural Network

Stock market prediction has been one of the most interesting use cases of machine learning for a long time. Stock market prediction involves both fundamental and technical analysis of a particular ...
EE World Online

Reimagining EV design with AI-enhanced EDA tools

Artificial intelligence (AI)-driven chatbots, tools, and techniques are being deployed across various stages of electric ...
ascopubs.org

Prediction of Cancer Symptom Trajectory Using Longitudinal Electronic Health Record Data and Long Short-Term Memory Neural Network

Ability to predict symptom severity and progression across treatment trajectories would allow clinicians to provide timely intervention and treatment planning. However, such predictions are difficult ...
pv magazine International

Hybrid PPA model improves PV-BESS bankability, say researchers

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...
SDxCentral

AI has a long-term memory problem (how to make neural networks less forgetful)

Generative artificial intelligence (AI) — such as ChatGPT and Dalle-2 — is undoubtedly one of the most groundbreaking and discussed technologies in recent history. Its applications and related issues ...