Publications tagged `ARTIFICIAL INTELLIGENCE`
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The Launchpad | The Launchpad is a resource for applied-Machine Learning (ML) best practices from the trenches. Our goal is to help AI-first companies innovate & thrive, sharing knowledge & insights from our community:startups, mentors & Googlers https://developers.google.com/programs/launchpad/ | 3,580 |
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PyTorch | An open source machine learning framework that accelerates the path from research prototyping to production deployment | 3,223 |
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GeoAI | Geospatial Artificial Intelligence: thoughts about where AI and GIS intersect | 3,168 |
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Textio Blog | Writing about the future of writing | 3,132 |
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The Adjacent Possible | The nexus of science, technology, innovation and intelligent speculative fiction. | 2,965 |
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ARCHITECHT | The business of cloud computing, artificial intelligence and next-gen enterprise IT. | 2,360 |
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Center for Open Source Data and AI Technologies | Things we made with data at IBM’s Center for Open Source Data and AI Technologies. | 2,338 |
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BCG GAMMA | GAMMAscope - The Blog | 2,254 |
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Silicon Valley Robotics | stories from the frontiers of robotics and AI | 2,071 |
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CodeX | Everything connected with Code & Tech! | 2,059 |
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ActiveWizards: machine learning company | Helping organizations to implement AI and data science initiatives | 2,047 |
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Hike Blog | Read on to find out what we are up to at Hike — product, technology, artificial intelligence, startup culture and more! Sounds like a company that you might want to be a part of? Apply here → hike.in/workathike | 2,034 |
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AI Revolution | A maximally condensed overview of the Artificial Intelligence Revolution. Project is based on a two-part article: AI Revolution by Tim Urban & Wait But Why blog. | 2,029 |
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Apache MXNet | Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. | 2,028 |
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Explore Science & Artificial Intelligence | Share interest in Science and explore AI through the principles of Machine/Statistical Learning, Mathematics and Computer Science. | 1,922 |