AWS News Blog
Category: Artificial Intelligence
Amazon CodeGuru Reviewer Updates: New Predictable Pricing Model Up To 90% Lower and Python Support Moves to GA
Amazon CodeGuru helps you automate code reviews and improve code quality with recommendations powered by machine learning and automated reasoning. You can use CodeGuru Reviewer to detect potential defects and bugs that are hard to find, and CodeGuru Profiler to fine-tune the performance of your applications based on live data. The service has been generally […]
AWS DeepRacer League’s 2021 Season Launches With New Open and Pro Divisions
As a developer, I have been hearing a lot of stories lately about how companies have solved their business problems using machine learning (ML), so one of my goals for 2021 is to learn more about it. For the last few years I have been using artificial intelligence (AI) services such as, Amazon Rekognition, Amazon […]
Amazon Lex Introduces an Enhanced Console Experience and New V2 APIs
Update October 29, 2021 – Amazon Lex has recently added new integrations and features. Take a look at the list below for the latest updates and links to documentation for more information. Integration with Amazon Connect – Amazon Connect now supports Amazon Lex V2 APIs in all AWS regions where Amazon Connect is offered, and […]
New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling
Amazon CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides […]
Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions
Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a […]
New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects
Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]
Introducing Amazon SageMaker Data Wrangler, a Visual Interface to Prepare Data for Machine Learning
Today, I’m extremely happy to announce Amazon SageMaker Data Wrangler, a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Whenever I ask a group of data scientists and ML engineers how much time they actually spend […]
New – Store, Discover, and Share Machine Learning Features with Amazon SageMaker Feature Store
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) […]