Blog Posts

Improving StyleGan2 for Uses in 3D Applications

By Jacob Barkovitch

1 min read · December 18, 2022

2022 · stylegan2, energy-grids, machine-learning, generative-adversarial-networks
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning

By Jacob Barkovitch

1 min read · November 17, 2022

2022 · combustion, thermodynamics, machine-learning, analytics
Generating 2D Fingerprints to Predict Properties of Metal Organic Frameworks Using Machine Learning

by Jacob Barkovitch

6 min read · September 28, 2022

2022 · materials-science, neuralnets, dimensionality-reduction, transfer-learning
Comparison of InceptionV3 and ResNet18 Deep Neural Networks for Regression in Medical Imaging

By Jacob Barkovitch

1 min read · April 16, 2021

2021 · healthcare, machine-learning, analytics