"The tool provides an assessment of individualized risks for mortality from COVID-19 using the best publicly available information on risks associated with various predisposing factors. The tool is meant for individuals who are currently not infected and does not account for all risk-factors that might increase an individual's chance of infection and/or health complications after infection. We will continue to update the tool as new"
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"Using AI to Map the World
In conjunction with OpenStreetMap, we are creating tools that we hope will enable the mapping community to enjoy a faster & more accurate mapping experience. To this end, we used artificial intelligence to predict features on high-resolution satellite imagery; these features are then populated in our RapiD map editing tool. When combined with global-scale humanitarian efforts, we hope RapiD can help realize our vision of a more connected world."
As a subset, Machine Learning focuses on growing from observations and experiences. The popularity of machine learning certification courses on online training platforms indicates that this is the thing of the future.
Coming to R, it is one of the major languages for data science because of its excellent visualization features, a growing ecosystem of third-party packages, and tools for machine learning interpretability. R has emerged as a fantastic tool for scientific computing and has powerful statistical libraries. Beginners commonly use R for exploring the data before applying any automated learning.
"We're beta launching SynthID, a tool for watermarking and identifying AI-generated content. With this tool, users can embed a digital watermark directly into AI-generated images or audio they create. This watermark is imperceptible to humans, but detectable for identification."
Our mission has been to create a digital butler. A conversational software tool designed to help organise oneself, automate tasks, find information, and ultimately connect to our home. We want to create a product that knows the information you need and and when to provide that information to make your life easier and more efficient.
"Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? If so, how? If not, why not?" Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group."
"People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI by doing fundamental research, building tools, creating design frameworks, and working with diverse communities."
