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Amazon’s own ‘Machine Learning University’ now available to all developers

2018-11-26 1,055 MachineLearning AI DeepLearning artificialintelligence bigdata

Today, I’m excited to share that, for the first time, the same machine learning courses used to train engineers at Amazon are now arevailable to all developers through AWS. We’ve been using machine learning across Amazon for more than 20 years. With thousands of engineers focused on machine learning across the company, there are very […]
New – Predictive Scaling for EC2, Powered by Machine Learning

2018-11-21 608 Autoscaling

When I look back on the history of AWS and think about the launches that truly signify the fundamentally dynamic, on-demand nature of the cloud, two stand out in my memory: the launch of Amazon EC2 in 2006 and the concurrent launch of CloudWatch Metrics, Auto Scaling, and Elastic Load Balancing in 2009. The first […]
Train a Deep Learning model with AWS Deep Learning Containers on Amazon EC2

2019-04-06 305

In this tutorial, you will train a TensorFlow machine learning model on an Amazon EC2 instance using the AWS Deep Learning Containers.
How Astro Built Astrobot Voice, a Chatbot for Email

2017-10-20 291

This is a guest post by Roland Schemers, CTO of Astro Technology, Inc. Astro, in their own words, “creates modern email apps for Mac, iOS and Android, powered by artificial intelligence, built for people and teams. With Astrobot Voice, an in-app email voice assistant, you can now read, manage, and reply to emails without leaving Astro’s […]
AWS Innovate - Machine Learning & AI Edition 2019

2019-09-05 269 AI

AWS Innovate is a virtual event around machine learning and AI for developers and data scientists. Join Amazon Web Services experts online on October 17 2019.
Caltech’s Pietro Perona on how deep learning can help you classify birds and trees

2018-01-03 233

Imagine, for a moment, that you discover an irregular mole on yourself. Whereas nowadays you still need to take time to schedule a dermatological appointment and then wait weeks to get your test results, Caltech Professor Pietro Perona is eagerly awaiting the day when you can snap a picture of the mole with your smartphone and then learn instantaneously if it’s dangerous or not. And he should know. As the co-creator, with Cornell Tech Professor Serge Belongie, of the AI and machine learning-ba[...]
Amazon SageMaker Studio: The First Fully Integrated Development Environment For Machine Learning

2019-12-03 232 reInvent

Today, we’re extremely happy to launch Amazon SageMaker Studio, the first fully integrated development environment (IDE) for machine learning (ML). We have come a long way since we launched Amazon SageMaker in 2017, and it is shown in the growing number of customers using the service. However, the ML development workflow is still very iterative, […]
NASA Case Study – Amazon Web Services (AWS)

2017-10-20 223

Read the NASA customer case study, powered by the AWS cloud. AWS provides cloud computing services to hundreds of thousands of companies.
Machine Learning in Education

2019-12-20 209

Discover how machine learning is used in education through case studies, blog posts, and stories from higher education, K12, and EdTech institutions running on AWS.
AWS DeepComposer – Compose Music with Generative Machine Learning Models

2019-12-02 173

Today, we’re extremely happy to announce , the world’s first machine learning-enabled musical keyboard. Yes, you read that right. Machine learning (ML) requires quite a bit of math, computer science, code, and infrastructure. These topics are exceedingly important but to a lot of aspiring ML developers, they look overwhelming and sometimes, dare I say it, […]
Train ALBERT for natural language processing with TensorFlow on Amazon SageMaker

2020-05-27 172

At re:Invent 2019, AWS shared the fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. Today, we’re open-sourcing the optimized training code for […]
Announcing AWS Machine Learning Research Awards

2017-11-27 151

We are excited to announce the AWS Machine Learning Research Awards, a new program that funds university departments, faculty, PhD students, and post-docs that are conducting novel research in machine learning (ML). We are working with Carnegie Mellon University, California Institute of Technology (Caltech), Harvard Medical School, The University of Washington, and the University of […]
New – GPU-Equipped EC2 P4 Instances for Machine Learning & HPC

2020-11-02 149

The Amazon EC2 team has been providing our customers with GPU-equipped instances for nearly a decade. The first-generation Cluster GPU instances were launched in late 2010, followed by the G2 (2013), P2 (2016), P3 (2017), G3 (2017), P3dn (2018), and G4 (2019) instances. Each successive generation incorporates increasingly-capable GPUs, along with enough CPU power, memory, […]
Introducing the COVID-19 Simulator and Machine Learning Toolkit for Predicting COVID-19 Spread

2020-10-30 141

There have been breakthroughs in understanding COVID-19, such as how soon an exposed person will develop symptoms and how many people on average will contract the disease after contact with an exposed individual. The wider research community is actively working on accurately predicting the percent population who are exposed, recovered, or have built immunity. Researchers […]
Amazon Elastic Inference – GPU-Powered Deep Learning Inference Acceleration

2018-11-28 140 GPU

One of the reasons for the recent progress of Artificial Intelligence and Deep Learning is the fantastic computing capabilities of Graphics Processing Units (GPU). About ten years ago, researchers learned how to harness their massive hardware parallelism for Machine Learning and High Performance Computing: curious minds will enjoy the seminal paper (PDF) published in 2009 […]