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Favorite Posted by Haim Kaplan and Yishay Mansour, Research Scientists, Google Research Differential privacy (DP) machine learning algorithms protect user data by limiting the effect of each data point on an aggregated output with a mathematical guarantee. Intuitively the guarantee implies that changing a single user’s contribution should not significantly
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Shared by Google AI Technology February 15, 2023
Favorite I joined Javier Perez and Rod Cope of Perforce in a webinar entitled Open Source Trends to Watch in 2023 where we reviewed our 2022 predictions and laid out some new ones for 2023. To begin, our recap of last year’s predictions showed that we were on target with the
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Shared by voicesofopensource February 15, 2023
Favorite We’re excited to announce that Amazon Personalize now lets you measure how your personalized recommendations can help you achieve your business goals. After specifying the metrics that you want to track, you can identify which campaigns and recommenders are most impactful and understand the impact of recommendations on your
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Shared by AWS Machine Learning February 15, 2023
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. In some scenarios, you need the search
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Favorite Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Within our lifetimes, we will see robotic
Read More Shared by Google AI Technology February 14, 2023
Favorite We are used to seeing pictures of knowledge cycles, but there is one cycle you never see, and it’s very important. You can find very many versions of the knowledge cycle, and they all seem to work the same way. They start with “Create” or “Capture”, and progress through
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Shared by Nick Milton February 14, 2023
Favorite This post is co-written by Zdenko Estok, Cloud Architect at Accenture and Sakar Selimcan, DeepRacer SME at Accenture. With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts
Read More Shared by AWS Machine Learning February 14, 2023
Favorite The Open Source Initiative moved the website on a new platform, a baby step to improving the list of Approved Licenses. This is a weird announcement as weird was the journey that took us to this point. Let me explain how this is just a milestone for more changes
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Favorite This post is co-written with Jonathan Jung, Mike Band, Michael Chi, and Thompson Bliss at the National Football League. A coverage scheme refers to the rules and responsibilities of each football defender tasked with stopping an offensive pass. It is at the core of understanding and analyzing any football
Read More Shared by AWS Machine Learning February 11, 2023
Favorite Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Robust algorithm design is the backbone of systems across Google, particularly for our
Read More Shared by Google AI Technology February 10, 2023