Favorite Generative AI has become a common tool for enhancing and accelerating the creative process across various industries, including entertainment, advertising, and graphic design. It enables more personalized experiences for audiences and improves the overall quality of the final products. One significant benefit of generative AI is creating unique and
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Shared by AWS Machine Learning August 3, 2023
Favorite Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. Amazon Rekognition is a fully managed service that can perform CV tasks like object
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Shared by AWS Machine Learning August 3, 2023
Favorite Amazon SageMaker Canvas is a visual interface that enables business analysts to generate accurate machine learning (ML) predictions on their own, without requiring any ML experience or having to write a single line of code. SageMaker Canvas’s intuitive user interface lets business analysts browse and access disparate data sources
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Shared by AWS Machine Learning August 3, 2023
Favorite As machine learning (ML) becomes increasingly prevalent in a wide range of industries, organizations are finding the need to train and serve large numbers of ML models to meet the diverse needs of their customers. For software as a service (SaaS) providers in particular, the ability to train and
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Shared by AWS Machine Learning August 3, 2023
Favorite The Google for Startups Women Founders Fund will provide equity-free funding and Google support to women-led AI startups in India, Japan and Korea. View Original Source (blog.google/technology/ai/) Here.
Favorite Lab Sessions is a series of experimental AI collaborations with everyone from artists to academics, scientists to students. View Original Source (blog.google/technology/ai/) Here.
Favorite Advertising agencies can use generative AI and text-to-image foundation models to create innovative ad creatives and content. In this post, we demonstrate how you can generate new images from existing base images using Amazon SageMaker, a fully managed service to build, train, and deploy ML models for at scale.
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Shared by AWS Machine Learning August 2, 2023
Favorite In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. This wealth of information, while essential for patient care, can also be overwhelming and time-consuming for medical professionals to sift through
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Shared by AWS Machine Learning August 2, 2023
Favorite If you are a business analyst, understanding customer behavior is probably one of the most important things you care about. Understanding the reasons and mechanisms behind customer purchase decisions can facilitate revenue growth. However, the loss of customers (commonly referred to as customer churn) always poses a risk. Gaining
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Shared by AWS Machine Learning August 1, 2023
Favorite Drug development is a complex and long process that involves screening thousands of drug candidates and using computational or experimental methods to evaluate leads. According to McKinsey, a single drug can take 10 years and cost an average of $2.6 billion to go through disease target identification, drug screening,
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Shared by AWS Machine Learning August 1, 2023