AWS News Blog
Category: Artificial Intelligence
Amazon CodeGuru Reviewer Introduces Secrets Detector to Identify Hardcoded Secrets and Secure Them with AWS Secrets Manager
Amazon CodeGuru helps you improve code quality and automate code reviews by scanning and profiling your Java and Python applications. CodeGuru Reviewer can detect potential defects and bugs in your code. For example, it suggests improvements regarding security vulnerabilities, resource leaks, concurrency issues, incorrect input validation, and deviation from AWS best practices. One of the […]
Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists
Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML). Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times Many data scientists love the R project, an […]
Help Make BugBusting History at AWS re:Invent 2021
Earlier this year, we launched the AWS BugBust Challenge, the world’s first global competition to fix one million code bugs and reduce technical debt by over $100 million. As part of this endeavor, we are launching the first AWS BugBust re:Invent Challenge at this year’s AWS re:Invent conference, from 10 a.m. (PST) November 29 to […]
Computer Vision at the Edge with AWS Panorama
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 […]
Scaling Ad Verification with Machine Learning and AWS Inferentia
Amazon Advertising helps companies build their brand and connect with shoppers, through ads shown both within and beyond Amazon’s store, including websites, apps, and streaming TV content in more than 15 countries. Businesses or brands of all sizes including registered sellers, vendors, book vendors, Kindle Direct Publishing (KDP) authors, app developers, and agencies on Amazon […]
Decoding the Social Effects Of Media with Machine Learning
What if media were optimized to benefit people? This thought-provoking question is at the core of Harmony Labs‘ mission. A nonprofit organization headquartered in New York City, Harmony Labs strives to better understand the impact of media on society, and build communities and tools to reform and transform media systems. As Brian Wanieswki, Executive Director […]
Amazon Textract Updates: Up to 32% Price Reduction in 8 AWS Regions and Up to 50% Reduction in Asynchronous Job Processing Times
Introduced at AWS re:Invent 2018, Amazon Textract is a machine learning service that automatically extracts text, handwriting and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. In the past few months, we introduced specialized support for processing invoices and receipts and […]
Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics
In 2017, we launched Amazon Transcribe, an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to any application. Today, I’m very happy to announce the availability of Amazon Transcribe Call Analytics, a new feature that lets you easily extract valuable insights from customer conversations with a single API call. Each […]