AWS Machine Learning Blog This post is written in collaboration with Brad Duncan, Rachel Johnson and Richard Alcock from MathWorks. MATLAB is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. It’s heavily used in many industries such as automotive, aerospace, […]Continue reading
AWS Machine Learning Blog Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents. Layout extends Amazon Textract’s word and […]Continue reading
Coronavirus | The Guardian England’s chief medical officer says incomplete knowledge of epidemiological concepts can be ‘dangerous thing’Sir Chris Whitty spent early parts of the Covid pandemic trying to “implore” people in government not to publicly discuss health concepts they did not fully understand such as “flattening the curve” of infections and herd immunity, he […]Continue reading
MIT News – Artificial intelligence This semester, students and postdocs across MIT were invited to submit ideas for the first-ever MIT Ignite: Generative AI Entrepreneurship Competition. Over 100 teams submitted proposals for startups that utilize generative artificial intelligence technologies to develop solutions across a diverse range of disciplines including human health, climate change, education, and […]Continue reading
Coronavirus | The Guardian PM would almost certainly have known concerns over ‘eat out to help out’ scheme, says former chief scientific adviserExplainer: How Vallance’s diaries exposed chaos inside No 10Rishi Sunak would almost certainly have known scientists were worried about his “eat out to help out” scheme during the pandemic, Sir Patrick Vallance has […]Continue reading
AWS Machine Learning Blog Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. When using generative AI for question answering, RAG enables LLMs to answer questions with the most relevant, up-to-date […]Continue reading
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