Condition-Aware Neural Networks for Image Generation: a paper dive
Published:
An explanation of the paper “Condition-Aware Neural Networks for Image Generation”.
Blog posts
2024
Insights from a Computer Science conference: DATE 2024
Published:
Diary-like post about my experience at the DATE 2024 conference.
2023
Auto-Tuning for Deep Neural Network Deployment
Published:
Explanation of the auto-tuning concept for deployment of Neural Networks.
Green AI: Methods and Solutions to Improve AI Sustainability
Published:
Communication and opinion article about techniques to enable Green AI.
2022
Galactica: how to (responsibly) use the controversial language model everyone is talking about
Published:
Communication and opinion article, talking about the contents of paper Galactica: A Large Language Model for Science.
How DeepMind discovered new ways of multiplying matrices using AI
Published:
Communication article, explaining the contents of paper Discovering faster matrix multiplication algorithms with reinforcement learning.
Hardware Accelerators for Neural Networks: How systolic arrays work
Published:
Educational article, explaining how systolic arrays are used to execute the basic matrix multiplication operation, and how they can be used to build entire hardware accelerators to execute neural network operators.
2018
Batch normalization: theory and how to use it with Tensorflow
Published:
Small technical post about how to use the batch normalization layer in Tensorflow.