AWS Machine Learning

You can use Amazon Lex to build a question and answer chatbot. However, if you live in a non-English-speaking country or your business has global reach, you will want a multilingual bot to cater to all your users. […]

This blog post is co-written by guest authors from SNCF and Olexya.
Transportation and logistics are fertile ground for machine learning (ML). In this post, we show how the French state-owned railway company […]

Businesses across many industries, including financial, medical, legal, and real estate, process a large number of documents for different business operations. Healthcare and life science organizations, for […]

Chatbots are popping up everywhere. They are qualifying leads, assisting with sales, and automating customer service. However, conversational chatbot experiences have been limited to the space available within the […]

Organizations across industries have a lot of unstructured data that you can evaluate to get entity-based insights. You may also want to add your own entity types unique to your business, like proprietary part […]

Amazon Textract is a machine learning (ML) service that makes it easy to extract text and data from scanned documents. Textract goes beyond simple optical character recognition (OCR) to identify the contents of […]

As solutions architects working in Brazil, we often translate technical content from English to other languages. Doing so manually takes a lot of time, especially when dealing with presentations—in contrast to p […]

In this post you will compile an open-source TensorFlow version of OpenPose using AWS Neuron and fine tune its inference performance for AWS Inferentia based instances. You will set up a benchmarking environment, […]

When you build models with the Apache MXNet deep learning framework, you can take advantage of the expansive model zoo provided by GluonCV to quickly train state-of-the-art computer vision algorithms for image and […]

This is a guest post by Mark Wood at Pulselive. In their own words, “Pulselive, based out of the UK, is the proud digital partner to some of the biggest names in sports.”

At Pulselive, we create experiences spo […]

In this post, we demonstrate how to use Amazon Comprehend Medical to extract medication names and medical conditions to monitor drug safety and adverse events. Amazon Comprehend Medical is a natural language p […]

This post is co-written by Femi Olumofin, an analytics architect at Infoblox.
In the same way that you can conveniently recognize someone by name instead of government-issued ID or telephone number, the Domain […]

This is a guest post co-written by Sergio Delgado from YoucanBook.me. In their own words, “YouCanBook.me is a small, independent and fully remote team, who love solving scheduling problems all over the world.”
At […]

This is a guest post by the Jira Cloud Performance Team at Atlassian. In their own words, Atlassian’s mission is to unleash the potential in every team. Our products help teams organize, discuss, and complete th […]

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This is a guest post by AWS Machine Learning Hero Cyrus Wong.
Staying connected with family, friends, and colleagues is easy for most people who live with or close to others. For educators who need to […]

Text classification is a technique for putting text into different categories, and has a wide range of applications: email providers use text classification to detect spam emails, marketing agencies use it for […]

AWS DeepRacer is a fully autonomous 1/18th scale race car powered by reinforcement learning (RL) that gives machine learning (ML) developers of all skill levels the opportunity to learn and build their ML skills […]

Working from home can be a big change to your ergonomic setup, which can make it hard for you to keep a healthy posture and take frequent breaks throughout the day. To help you maintain good posture and have fun […]

In October 2019, AWS announced that it was working with Facebook, Microsoft, and the Partnership on AI on the first Deepfake Detection Challenge. Deepfake algorithms are the same as the underlying technology that […]

GPUs can significantly speed up deep learning training, and have the potential to reduce training time from weeks to just hours. However, to fully benefit from the use of GPUs, you should consider the following […]