Working together to address AI risks and opportunities at MSC
For 60 years, the Munich Security Conference has brought together world leaders, businesses, experts and civil society for frank discussions about strengthening and safe…
Detect anomalies in manufacturing data using Amazon SageMaker Canvas
With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. Industrial companies increasingly look at data analytics and data-driven decision-making to increase resource efficiency across their entire portfolio, from operations to performing …
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Our next-generation model: Gemini 1.5
Gemini 1.5 delivers dramatically enhanced performance, with a breakthrough in long-context understanding across modalities.
How we’re partnering with the industry, governments and civil society to advance AI
Google shares more on how it’s partnering with industry, governments and civil society to advance AI.
Enhance Amazon Connect and Lex with generative AI capabilities
Effective self-service options are becoming increasingly critical for contact centers, but implementing them well presents unique challenges. Amazon Lex provides your Amazon Connect contact center with chatbot functionalities such as automatic speech recognition (ASR) and natural language understanding (NLU) capabilities through voice and text channels. The bot takes natural language speech or text input, recognizes …
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Skeleton-based pose annotation labeling using Amazon SageMaker Ground Truth
Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles) within images or videos. Pose estimation has real-world applications in sports, robotics, security, augmented reality, media and entertainment, medical applications, and more. Pose estimation models are trained on images or videos that are annotated with …
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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock
With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and generate contextually relevant and human-like responses. This is fueling innovation across …
How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker
This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest online food and grocery store. They operate in multiple ecommerce channels such as quick commerce, slotted delivery, and daily subscriptions. You can also buy from their physical stores and vending machines. They offer a large assortment of over …
Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. Features are used …
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Pixel is now the Official Mobile Phone of the National Women’s Soccer League
Google Pixel and National Women’s Soccer League announce a multi-year partnership, with Pixel becoming the league’s official mobile phone.