Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
More from the blog
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
A Blog post by Amazon on Hugging Face
MPS in PyTorch 2.15
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Documenting the tech worker movement
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Documenting the tech worker movement
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Related papers
ECCOLA - a Method for Implementing Ethically Aligned AI Systems
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ethically Aligned Design of Autonomous Systems: Industry viewpoint and an empirical study
An empirical study on the current state of practice in artificial intelligence ethics is conducted by means of a multiple case study of five case companies, which indicates a gap between research and practice in the area.
The Key Concepts of Ethics of Artificial Intelligence
It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.
AI Ethics in Industry: A Research Framework
This paper discusses a research framework for implementing AI ethics in industrial settings and presents a starting point for empirical studies into AI ethics but is still being developed further based on its practical utilization.