Category: Amazon Machine Learning

You might learn in high school biology class that the human genome is composed of over three billion letters of code using adenine (A), guanine (G), cytosine (C), and thymine (T) paired in the deoxyribonucleic acid (DNA). The human genome acts as the biological blueprint of every human cell. And that’s only the foundation for […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and the News Blog team is getting ready for AWS re:Invent! Many of us will be there next week and it would be great to meet […]

It is estimated that 50 percent of the injuries caused when a high magnitude earthquake affects an area are because of falls or falling hazards. This means that most of these injuries could have been prevented if the population had a few seconds of warning to take cover. Grillo, a social impact enterprise focused on seismology, […]

As an ex-.NET developer, and now Developer Advocate for .NET at AWS, I’m excited to bring you this week’s Week in Review post, for reasons that will quickly become apparent! There are several updates, customer stories, and events I want to bring to your attention, so let’s dive straight in! Last Week’s launches .NET developers, […]

Last week, AWS Summit New York was held in person at the Javits Center with thousands of attendees and over 100 sponsors and partners. During the keynote, Martin Beeby, AWS Principal Developer Advocate, talked about how innovations in cloud infrastructure enable customers to adapt to challenges and seize new opportunities. It included Liz Fong-Jones‘s great […]

Today, the AWS Panorama Appliance is generally available to all of you. The AWS Panorama Appliance is a computer vision (CV) appliance designed to be deployed on your network to analyze images provided by your on-premises cameras. Every week, I read about new and innovative use cases for computer vision. Some customers are using CV […]

At AWS re:Invent 2020, we previewed Amazon HealthLake, a fully managed, HIPAA-eligible service that allows healthcare and life sciences customers to aggregate their health information from different silos and formats into a structured, centralized AWS data lake, and extract insights from that data with analytics and machine learning (ML). Today, I’m very happy to announce […]

Today, I’m extremely happy to announce Amazon SageMaker Feature Store, a new capability of Amazon SageMaker that makes it easy for data scientists and machine learning engineers to securely store, discover and share curated data used in training and prediction workflows. For all the importance of selecting the right algorithm to train machine learning (ML) […]