Virtualization Review

Running AI Locally, Part 2: From VMware Context to Hands-On Tools

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
IEEE

Enhancing EV Charging Station Integration: A Hybrid ARIMA-LSTM Forecasting and Optimization Framework

Abstract: Electric vehicles (EVs) offer substantial environmental benefits but introduce challenges to power grids due to capacity limitations. Effective deployment and coordination of EV Charging ...
IEEE

Reinforcement Learning to Enhance Digital Twin Based EDFA Fault Prediction in Optical Networks

Abstract: This study proposes a novel two-stage framework that integrates Digital Twin (DT) with Reinforcement Learning (RL) for failure prediction in optical communication networks. The framework ...
GitHub

LSTM and QRNN Language Model Toolkit

Regularizing and Optimizing LSTM Language Models An Analysis of Neural Language Modeling at Multiple Scales This code was originally forked from the PyTorch word level language modeling example. The ...
note

[3 Steps] A Practical Roadmap for 30-something Field Engineers to Master Python at Maximum Speed and Implement Predictive Maintenance AI in One Month

Time-series data in manufacturing (temperature, pressure, vibration, current...) is tricky. Data preprocessing, windowing, normalization, the format to pass to the model... "I'll visualize that data ...
GitHub

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

@article{cornia2018predicting, author = {Cornia, Marcella and Baraldi, Lorenzo and Serra, Giuseppe and Cucchiara, Rita}, title = {{Predicting Human Eye Fixations via an LSTM-based Saliency Attentive ...
Frontiers

An explainable Bi-LSTM model for winter wheat yield prediction

Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and ...