IEEE

Classes of Dilemma Problems and Their Multi-Agent Reinforcement Learning Method

Abstract: Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems ...

I took Harvard's free online coding classes to better catch AI's errors - and they're legit

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
GitHub

AI Code Generation Prompts Examples (Python)

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...
eLife

Exploiting fluctuations in gene expression to detect causal interactions between genes

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
IEEE

Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples

Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...