Introducing PaLM 2
Favorite Today at I/O 2023, Google introduced PaLM 2, a new language model with improved multilingual, reasoning, and coding capabilities. View Original Source (blog.google/technology/ai/) Here.
Supercharging Search with generative AI
Favorite We’re starting with an experiment in Search Labs called SGE, Search Generative Experience, which uses generative AI. View Original Source (blog.google/technology/ai/) Here.
What’s ahead for Bard: More global, more visual, more integrated
Favorite We’re ending the waitlist for Bard, adding support for more regions, introducing images and connecting with partner apps. View Original Source (blog.google/technology/ai/) Here.
Magic Editor in Google Photos: New AI editing features for reimagining your photos
Favorite Magic Editor is an experimental editing experience that uses AI to help reimagine your photos — early access is planned for select Pixel phones later this year. View Original Source (blog.google/technology/ai/) Here.
New ways AI is making Maps more immersive
Favorite With advancements in AI, there are new ways to understand your route with Maps. Plus, new immersive tools for developers. View Original Source (blog.google/technology/ai/) Here.
Turn ideas into music with MusicLM
Favorite Starting today, you can sign up to try MusicLM, a new experimental AI tool that can turn your text descriptions into music. View Original Source (blog.google/technology/ai/) Here.
Building better pangenomes to improve the equity of genomics
Favorite Posted by Andrew Carroll, Product Lead, and Kishwar Shafin, Research Scientist, Genomics For decades, researchers worked together to assemble a complete copy of the molecular instructions for a human — a map of the human genome. The first draft was finished in 2000, but with several missing pieces. Even
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Shared by Google AI Technology May 10, 2023
Host ML models on Amazon SageMaker using Triton: Python backend
Favorite Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models. Of these options, one of the key features that SageMaker provides is real-time inference. Real-time inference workloads can have varying levels of requirements and service level agreements
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Shared by AWS Machine Learning May 9, 2023
Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake
Favorite Healthcare data is complex and siloed, and exists in various formats. An estimated 80% of data within organizations is considered to be unstructured or “dark” data that is locked inside text, emails, PDFs, and scanned documents. This data is difficult to interpret or analyze programmatically and limits how organizations
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Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker
Favorite Proteins drive many biological processes, such as enzyme activity, molecular transport, and cellular support. The three-dimensional structure of a protein provides insight into its function and how it interacts with other biomolecules. Experimental methods to determine protein structure, such as X-ray crystallography and NMR spectroscopy, are expensive and time-consuming.
Read More Shared by AWS Machine Learning May 9, 2023