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Favorite This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture. Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). A key part
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Shared by AWS Machine Learning February 7, 2024
Favorite 2023 was a big year of progress toward our goal of establishing a Definition for Open Source AI, but we still have a long way to go. Strong momentum of global collaboration toward this end will continue in 2024, and we need your help. I detailed what we have
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Shared by voicesofopensource February 7, 2024
Favorite In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. These events can be reported anywhere, from hospitals or at home, and must be responsibly and
Read More Shared by AWS Machine Learning February 6, 2024
Favorite Do your employees wait for hours on the telephone to open an IT ticket? Do they wait for an agent to triage an issue, which sometimes only requires restarting the computer? Providing excellent IT support is crucial for any organization, but legacy systems have relied heavily on human agents
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Favorite Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — take for example transportation networks, production
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Shared by Google AI Technology February 6, 2024
Favorite This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health. HSR.health is a geospatial health risk analytics firm whose vision is that global health challenges are solvable through human ingenuity and the focused and accurate application of data analytics. In
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Favorite Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without the need to write any code. Ready-to-use Foundation Models (FMs) available in SageMaker Canvas enable customers to use generative AI for tasks such as content generation and summarization. We
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Favorite The Checks team shares three things that privacy professionals should consider when thinking about AI and privacy in 2024. View Original Source (blog.google/technology/ai/) Here.
Favorite A look at our collaboration with humanitarian organizations to use flood forecasting technology. View Original Source (blog.google/technology/ai/) Here.
Favorite One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings capture the information content in bodies of text, allowing natural language
Read More Shared by AWS Machine Learning February 2, 2024