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Tag: Artificial neural networks

Tag Archives: Artificial neural networks

09May/24

OpenAI’s content deal with the FT is an attempt to avoid more legal challenges – and an ‘AI data apocalypse’

May 9, 2024MediaAI boom, Artificial intelligence, Artificial neural networks, Chatbot, ChatGPT, Creative Commons, Deep learning, Generative artificial intelligence, Generative pre-trained transformer, GPT-4, Hallucination, John Ridding, king's college london, Large language models, Machine learning, Mike Cook, OpenAI, SHUTTERSTOCK, the ft group, United Statesadmin

Mike Cook, King’s College London

OpenAI’s new “strategic partnership” and licensing agreement with the Financial Times (FT) follows similar deals between the US tech company and publishers such as Associated Press, German media giant Axel Springer and French newspaper Le Monde.

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08Nov/23

Applied AI Summit

November 8, 2023Developers.google, Artificial intelligence, Artificial neural networks, Deep learning, Emerging technologies, Generative artificial intelligence, Machine learning, Stable Diffusionadmin

Join us to learn how to build the next generation of applications, improve your productivity, and boost your generative AI skills at Google Cloud Applied AI Summit, a digital event on Wednesday, December 13, at 10 AM PST. Continue reading →

03Apr/23

AI will soon become impossible for humans to comprehend – the story of neural networks tells us why

April 3, 2023InnovationAcademic disciplines, Articles, Artificial intelligence, Artificial neural networks, Beatrice Fazi, bell laboratories, Bing, Carver Mead, Cognitive science, Computational neuroscience, Creative Commons, Cybernetics, David Beer, David Rumelhart, Deep learning, Edward Rosenfeld, Emerging technologies, Harry Collins, IBM, Jack D. Cowan, James Anderson, Jay McClelland, Katherine Hayles, Larry Hardesty, Leon N. Cooper, London, Machine learning, Mead, Microsoft, Neural network, Richard Waters, SHUTTERSTOCK, Stephen Grossberg, Taina Bucher, Teuvo Kohonen, Walter J. Freeman, Walter Pitts, Warren McCulloch, Wilfred Taylor, Yann LeCunadmin

David Beer, University of York

In 1956, during a year-long trip to London and in his early 20s, the mathematician and theoretical biologist Jack D. Cowan visited Wilfred Taylor and his strange new “learning machine”. On his arrival he was baffled by the “huge bank of apparatus” that confronted him. Cowan could only stand by and watch “the machine doing its thing”. The thing it appeared to be doing was performing an “associative memory scheme” – it seemed to be able to learn how to find connections and retrieve data.

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