Archive of posts tagged: Machine Learning
Catalyzing Computing Podcast – Computer Architecture with Mark D. Hill
[Editor’s Note: This article originally appeared on the CCC blog (part 1 and part 2) and is re-posted here with permission.] A new episode of the Computing Community Consortium‘s (CCC) official podcast, Catalyzing Computing, is now available. In this episode, Khari...
Nanoscale Optoelectronic AI Processing
In a previous blog post, we summarized some advances in optical computing that enable the implementation of low-energy optical-convolutional layers using phase masks and angle-sensitive pixels. Such approaches also present multiple challenges, such as lack of...
Data Engineering for Everyone
The rise of open-source software necessitated a software-engineering revolution (new standards, tools, licenses, etc.) to overcome the problems facing large distributed teams working on enormous code bases. Today, machine learning (ML) builds atop this vibrant and...
Rethinking Data Storage and Preprocessing for ML
Machine learning (ML) — and in particular deep learning — applications have sparked the development of specialized software frameworks and hardware accelerators. Frameworks like PyTorch and TensorFlow offer a clean abstraction for developing and running...Subscribe
