by Pieter Luitjens | Feb 17, 2021 | Machine Learning
Today we live in a world of unprecedented open-source code. Companies such as Google and Facebook have put their internal AI solutions in the public domain, a previously unheard of step. There are also plenty of resources today on how to quickly and easily build AI...
by Pieter Luitjens | Feb 3, 2021 | Machine Learning, Privacy, Security
The past decade has seen AI advance in leaps and bounds, with Deep Learning (DL) enabling many new applications and redefining industries. Computer Vision has had a particularly significant impact: without it, DL computers could not reliably process real-world images...
by Pieter Luitjens | Sep 1, 2020 | Law, Machine Learning
AI is rapidly being deployed around the world in many different use cases, with few guidelines for manufacturers, developers, and operators to follow. Along with the complexity of creating the technology, there remain many unanswered legal questions. As the CTO of a...
by Pieter Luitjens | Jun 12, 2020 | Machine Learning
Photo by SpaceX on Flickr TL;DR: The new Tensorflow Lite XNNPACK delegate enables best in-class performance on x86 and ARM CPUs — over 10x faster than the default Tensorflow Lite backend in some cases. Tensorflow Lite is one of my favourite software packages. It...
by Pieter Luitjens | Jan 21, 2020 | Machine Learning
TL;DR: I showcase some techniques to improve DALI resource usage & create a completely CPU-based pipeline. These techniques stabilize long-term memory usage and allow for ~50% larger batch size compared to the example CPU & GPU pipelines provided with the DALI...
by Patricia Thaine | Jan 1, 2020 | Machine Learning, Privacy, Security
Data privacy has been called “the most important issue in the next decade,” and has taken center stage thanks to legislation like the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Companies, developers, and...
