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Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.
In 2011, Ng founded the Google Brain project at Google, which developed large-scale artificial neural networks using Google's distributed computing infrastructure. [43] Among its notable results was a neural network trained using deep learning algorithms on 16,000 CPU cores , which learned to recognize cats after watching only YouTube videos ...
Google collects its AI initiatives under Google.ai. Archived October 8, 2018, at the Wayback Machine. Google collects AI-based services across the company into Google.ai – "Google.ai is a collection of products and teams across Alphabet with a focus on AI." Google's deep focus on AI is paying off. Archived October 20, 2020, at the Wayback ...
At Coursera, we've seen firsthand how AI can help identify student needs and tailor resources to support their learning journey. Yet the emotional intelligence, empathy, and mentorship that ...
In the fall of 2018, fast.ai released v1.0 of their free open-source library for deep learning called fastai (without a period), sitting atop PyTorch. Google Cloud was the first to announce its support. [6] This open-source framework is hosted on GitHub and is licensed under the Apache License, Version 2.0. [7] [8]
Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia. [1] He received his Ph.D. at Stanford University in 2003. [2] He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, [3] a 2013/14 Killam Teaching Prize, [4] and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer ...
AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...
Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.
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