Amazon Prime Video has begun offering X-Ray Recaps, summaries of favorite TV shows that catch you up without risk of spoilers. The generative AI-powered feature can create snapshots of any requested view — episodes, pieces of episodes or full seasons of TV shows. “Whether you’re a few minutes into a new episode, halfway through a season” or took a break to get popcorn and need a quick refresher, X-Ray Recaps will catch you up “personalized down to the exact minute of where you are watching,” according to Amazon, which assures “guardrails are applied” to ensure the generation of spoiler-free summaries. Continue reading Amazon Prime Video Offers AI-Powered Recaps of TV Shows

Amazon Web Services made availability announcements for services including its enterprise AI assistant Q, which now becomes available on its entry-level SageMaker tier, and introduced some new products at the AWS Summit at New York City’s Javits Center this week. Notably, the App Studio development assistant has launched in public preview. Amazon is also highlighting new features to improve AI accuracy, including a guardrail that detects “hallucinations.” Overall, the event — one in a series of daylong summits held in key cities across the nation — emphasized the comprehensiveness of the company’s generative AI stack. Continue reading AWS Expands Q Availability, Adds Guardrails for Bedrock AI

Amazon has earmarked $230 million to invest in generative AI startups worldwide, providing funding in the form of “AWS credits, mentorship, and education to further their use of artificial intelligence and machine learning technologies.” The initiative will cast a global net, focusing on early-stage companies. About $80 million of that allocation will fund the second cohort of the AWS Generative AI Accelerator, which provides up to $1 million in credits “to each of the top 80 early-stage startups that are using generative AI to solve complex challenges.” Applications for the AWS Accelerator are open through July 19. Continue reading Amazon Commits $230M in AWS Credits for GenAI Startups

Amazon has launched five new capabilities to its SageMaker service, including Sagemaker HyperPod, which accelerates large language and foundation model training and tuning. Sagemaker HyperPod is said to shorten the training time by up to 40 percent using its purpose-built infrastructure designed for distributed training at scale. By optimizing acceleration, SageMaker Inference reduces foundation model deployment costs by 50 percent and latency by 20 percent on average, Amazon claims. “SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning infrastructure,” said Amazon. Continue reading SageMaker HyperPod: Amazon Accelerates AI Model Training

Amazon announced the AWS Panorama Appliance, a plug-in that connects to a network and identifies video streams from cameras in the customers’ industrial facilities. It enables AI services for construction, manufacturing, retail and other industries and is aimed at “industrial companies looking for a more holistic, computer vision-centric analytics solution.” It integrates with AWS IoT services including SiteWise. Also new is the AWS Panorama SDK that allows manufacturers to build new cameras for computer vision at the edge. Continue reading Amazon Unveils Computer Vision Products for Industrial Use

Amazon Web Services unveiled Amazon Augmented Artificial Intelligence (A2I), a fully managed service that makes it easy for developers to build workflows that use human reviewers to validate machine learning predictions. Human reviewers can be added via Mechanical Turk, third-party vendors or the developer’s own employees. The developer can also use Amazon A2I to structure the review process and manage the human reviewers. Users do not need to commit to use Amazon A2I, but instead pay only for each review needed. Continue reading AWS Intros AI Tool to Add Human Reviewers to ML Workflow

To compete in the profitable cloud-computing arena, Amazon Web Services debuted 20 new machine-learning tools this week at the AWS re:Invent conference in Las Vegas. Tools include speech recognition and algorithms to automate decisions. The move helps Amazon compete better with Google and Microsoft, both of which are using their expertise in AI and machine learning to cut into its market share. Machine learning will also help potential developers that can’t create these capabilities on their own. Analysts estimate that Amazon dominates the cloud with a 44 percent market share. Continue reading AWS Expands Cloud Efforts with New Machine-Learning Tools