Category Archives: AI and Machine Learning

Generative AI and the Future of Education – Taccle AI — Read on taccleai.eu/2023/07/11/generative-ai-and-the-future-of-education/

http://www.technologyreview.com/2023/07/07/1075982/ai-text-detection-tools-are-really-easy-to-fool/

http://www.technologyreview.com/2023/06/28/1075691/the-emergent-industrial-metaverse-2/

Get the latest on Microsoft’s Reading Coach and Google’s new Reading Practice features for Google Play Books. — Read on blog.tcea.org/new-reading-tools-google-microsoft/

AI language models and chatbots show that AI can generate content cheaply but at a lower quality. These characteristics mean AI will remake the web as we know it — from Google Search to Wikipedia and more. — Read on http://www.theverge.com/2023/6/26/23773914/ai-large-language-models-data-scraping-generation-remaking-web

The term “metaverse” is a combination of the prefix “meta” (meaning “beyond” in Greek) and the word “verse” (meaning “universe”)#_ftn1″ name=”_ftnref1″ title=””>[1]. Possibilities associated with the metaverse are immense, and given the lack of consensus on a single conceptualisation of the term, there is considerable space for debate and research. Still in its infancy, weContinue reading “Towards a successful metaverse: the case for measuring enabling factors – Economist Impact”

Editorial Technologies for Data-Driven Interventions in Smart Learning Environments | IEEE Journals & Magazine | IEEE Xplore — Read on ieeexplore.ieee.org/document/

A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies. — Read on a16z.com/2023/06/20/emerging-architectures-for-llm-applications/

Foundation models are AI neural networks trained on massive unlabeled datasets to handle a wide variety of jobs from translating text to analyzing medical images. — Read on blogs.nvidia.com/blog/2023/03/13/what-are-foundation-models/

learninganalytics.upenn.edu/MOOT/bigdataeducation.html