Difference between revisions of "History of Artificial Intelligence (AI)"
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| − | <b> | + | <b>Who Invented A.I.? - The Pioneers of Our Future |
| − | </b><br> | + | </b><br>ColdFusion is an Australian based online media company independently run by Dagogo Altraide since 2009. Topics cover anything in science, technology, history and business in a calm and relaxed environment. |
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| − | <b> | + | <b>You and AI – the history, capabilities and frontiers of AI |
| − | </b><br> | + | </b><br>[[Creatives#Demis Hassabis|Demis Hassabis]], world-renowned British neuroscientist, artificial intelligence (AI) researcher and the co-founder and CEO of DeepMind, explores the groundbreaking research driving the application of AI to scientific discovery. The talk launches the Royal Society’s 2018 series: You and AI, a collaborative effort to help people understand what machine learning and AI are, how these technologies work and the ways they may affect our lives. Supported by DeepMind. For more information on the event series: http://ow.ly/PKug30jWEYV |
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| − | <b> | + | <b>A Brief History of Artificial Intelligence |
| − | </b><br> | + | </b><br>While everyone seems to be talking about artificial intelligence these days, it’s good to remember that this is not something new! |
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| − | <b> | + | <b>The Epistemology of Deep Learning - [[Creatives#Yann LeCun|Yann LeCun]] |
| − | </b><br> | + | </b><br>Deep Learning: Alchemy or Science? Topic: The Epistemology of Deep Learning Speaker: [[Creatives#Yann LeCun|Yann LeCun]] Affiliation: [[Facebook]] AI Research/New York University Date: February 22, 2019 |
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| − | <b> | + | <b>A Brief History of AI |
| − | </b><br> | + | </b><br>AI is now a mainstream topic reaching a broader business audience. Every executive who wants their company to be a leader in their industry should be asking themselves two questions. First, is the potential of AI real? Second, how do I apply it to my business? This Dreamtalk will dispel the 5 common myths about AI and replace it with a framework for executives to apply to their business. |
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| − | <b> | + | <b>Short History Of Artificial Intelligence (AI) |
| − | </b><br> | + | </b><br>This is the audio version of Forbes which can be found here: http://www.forbes.com/sites/gilpress/2016/12/30/a-very-short-history-of-artificial-intelligence-ai/#4219d7f26fba |
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| − | <b> | + | <b>The Future of Artificial Intelligence: Views from History |
| − | </b><br> | + | </b><br>On the evening of 29th November 2018, the Leverhulme Centre for the Future of Intelligence (CFI) will host an expert panel on ‘The Future of Artificial Intelligence: Views from History’ featuring: |
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| + | Prof. Simon Schaffer (University of Cambridge) | ||
| + | Prof. Murray Shanahan (DeepMind, Imperial) | ||
| + | Prof. Margaret A. Boden OBE ScD FBA, (University of Sussex) | ||
| + | Prof. Nathan Ensmenger (Indiana University) | ||
| + | Pamela McCorduck (author of Machines Who Think, an authoritative history of AI) | ||
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| + | and chaired by Dr Sarah Dillon (Leverhulme Centre for the Future of Intelligence). | ||
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| + | Speakers will interrogate the past, present, and future of intelligent systems for a general audience, with an interest towards the nuanced power dynamics that have operated around such systems throughout the ages. | ||
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| + | This event will commemorates the 60th anniversary of the landmark 1958 ‘Mechanisation of Thought Conference’ held in Teddington, England; an event that served to establish artificial intelligence as a standalone field in the UK. | ||
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| − | <b> | + | <b>The History of Artificial Intelligence [Documentary] |
| − | </b><br> | + | </b><br>Futurology |
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Revision as of 16:53, 31 August 2020
- Creatives
- Gaming
- History of Artificial Intelligence ...Timeline ...Timeline of machine learning | Wikipedia
- A (Very) Brief History of Artificial Intelligence | Bruce G. Buchanan
- How China tried and failed to win the AI race: The inside story | Alison Rayome
- Bio-inspired Computing
- Feature Exploration/Learning
In AI, there are four generations.
- The first generation is the Good Old-fashioned AI, meaning that you handcraft everything and you learn nothing.
- The second generation is shallow learning — you handcraft the features and learn a classifier.
- The third generation, which a lot of people have enjoyed so far, is deep learning. Basically you handcraft the algorithm, but you learn the features and you learn the predictions, end to end. More learning than shallow learning, right?
- And the fourth generation, this is something new, what I work on, I call it “learning-to-learn.” Google Brain Research Scientist Quoc Le on Automated Machine Learning (AML) - AutoML and More
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The Turk
