This post was co-written with Tobias Wenzel, Software Engineering Manager for the Intuit Machine Learning Platform. We all appreciate the importance of a high-quality and reliable machine learning (ML) model when using autonomous driving or interacting with Alexa, for examples. ML models also play an important role in less obvious ways—they’re used by business applications, …
Read more “Testing approaches for Amazon SageMaker ML models”
Amazon Neptune ML is a machine learning (ML) capability of Amazon Neptune that helps you make accurate and fast predictions on your graph data. Under the hood, Neptune ML uses Graph Neural Networks (GNNs) to simultaneously take advantage of graph structure and node/edge properties to solve the task at hand. Traditional methods either only use …
Read more “Encode multi-lingual text properties in Amazon Neptune to train predictive models”
We are rapidly entering an age of mediamorphosis when our tools can move beyond their current capabilities and begin to co-create with us.Read More
Was this week’s “tsunami” of cloud AI announcements a sign of Big Tech battles to come? Gartner analyst Sid Nag weighs in.Read More
The augmented workforce balances AI and NLG with the human touch, reinforcing, not replacing, human workers.Read More
Medical artificial intelligence (AI) promises great rewards but also comes with great risks. Here’s what’s happening in the field now.Read More
Investors Benaich and Hogarth have published their State of AI report, covering the latest in AI across industry, research and politics.Read More
Plus: How Mark Zuckerberg fell in love with VR, the fake future of documentaries, and Armageddon.
Social media provides a lot of discourse, but sometimes, a minor revolt over a coffee chain’s loyalty program is the best use of its tools.
This easy-going little electric bike has a step-through frame so low that anyone can cruise it out.