Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close
Thank you for contacting us. A member of our team will be in touch shortly. Close
Kubeflow in 3 minutes Google launches Kubeflow 101, a series of short videos to demystify Kubeflow. Intro to Kubeflow. Watch an overview of Kubeflow in the first episode: Intro to Kubeflow pipelines In the second episode of Kubeflow 101, watch an introduction to Kubeflow pipelines, and the presentation of a new hosted version of Kubeflow ...
CNCF introduction to Kubeflow Arun Gupta, Senior Engineering Manager at Apple walks viewers through the benefits of Kubeflow and how to get started. Securing Kubeflow Talk by Barton Rhodes, Senior Machine Learning Engineer at DaVita Inc. This talk is motivated by Ian Coldwater during the Kubernetes Podcast ‘Attacking and Defending Kuberne ...
The wait is over, it’s official, Kubeflow 1.0 is here. Many of you have been waiting for Kubeflow to reach 1.0 to suggest it to your managers, put it in production or use it more often in business critical applications. With Kubeflow reaching the 1.0 stage you can now do this with confidence and knowledge ...
Artificial intelligence-created medicine to be used on humans for first time – For the first time, a drug created by AI and Machine Learning has been approved for human trials. The drug was created by British start-up Exscientia in collaboration with Japanese pharmaceutical firm Sumitomo Dainippon Pharma. While typical drug development ta ...
Using AI to Enrich Digital Maps – Your commute may now be saved from the road closures, private routes and diversions! Researchers at MIT and Qatar Computing Research Institute (QCRI) have invented a model that could improve GPS navigation on digital maps.An interesting read about the research combining convolutional neural network (CNN) ...
Microsoft NNI and Kubeflow – continued support and a way to tune hyperparameters – Microsoft released version 1.3 of their NNI project. NNI is Microsoft’s Neural Network Intelligence project, it lets you search for the best neural network architecture and hyperparameters. Microsoft NNI supports Kubeflow, where NNI can take the place of ...
Architecture for MLOps using TFX, Kubeflow Pipelines, and Cloud Build – If you’re a data scientist or an enthusiast and have been wanting to try the TFX (TensorFlow Extended), this article is a good place to start. The article also helps guide through setting up CI/CD and CT ( Continuous Training) using Kubeflow Pipelines and ...
AI to Identify Unknown Civil War Soldiers – An interesting piece by Time on the use of Artificial Intelligence for facial recognition; the software calculates the difference between proportions of the face and facial portraits like the eyes to match an uploaded picture with picture available on the web. This allows matching of discoloured ...
AI Competing with Wall Street – Artificial Intelligence is replacing traders on Wall Street; what used to be a busy bustling market with chatter and cold calls are now the slight hums of machines running algorithms and executing trades. The demand for people with coding skills who can train models for intelligent trading and fight ...
Google pushing TPU with new TensorFlow release – TensorFlow 2.1 is here, welcome to the TPU push; that’s good news for many. We’ll also see improved performance on Linux and Windows and GPU support out-the-box. There are a few changes and issues to be aware of and if you’re using Python 2, TF 2.1 will ...
Throwback to Kubecon last week where Kubeflow was the most talked about topic other than Kubernetes itself. It was great to see so much excitement around Kubeflow. For those of you who missed the event, or were too busy to catch these talks, or just couldn’t be everywhere exciting at once, below is a list ...
KubeFlow’s Serverless Component: 10x Faster, a 1/10 of the Effort – Orit Nissan-Messing, Iguazio Enabling Kubeflow with Enterprise-Grade Auth for On-Prem – Yannis Zarkadas & Krishna Durai Measuring and Optimizing Kubeflow Clusters at Lyft – Konstantin Gizdarski & Richard Liu Towards Continuous Computer Vision Model Improvement with Kubefl ...
