Its popularity has seen Microsoft invest massively into the chatbot's creator, San Francisco startup OpenAI, and incorporate the tech into its Bing search engine and Office apps. In a few months since launching late last year, ChatGPT has amassed more than 100 million active monthly users, wowing experts and casual observers alike with its ability to pass the world's toughest exams, fix computer bugs, compose anything from political speeches to children's homework, and even get through job applications. Reports suggest the now merged DeepMind and Brain teams have been tasked with working on a Google Bard follow-up dubbed "Gemini", another sign of the non-stop nature of AI development in a post-ChatGPT world. Last month, in a sign of the field's growing importance to the company, it was merged with the formerly independent British research company DeepMind, which Google also bought in 2014.ĭeepMind remains based in the UK and was even treated to a recent ministerial visit. From there he set up a branch of Google Brain, a research team dedicated to the development of AI. Open Privacy OptionsĬlick to subscribe to the Sky News Daily wherever you get your podcastsįollowing the acquisition, Dr Hinton began working part-time at Google, splitting his time with university research in Toronto. Spreaker Due to your consent preferences, you’re not able to view this. The success of their image recognition system, dubbed AlexNet, attracted the interest of search giant Google, and it acquired their company in 2013. Eleven years later, OpenAI's latest version of GPT software boasts the same feature on a scale once impossible to imagine.Īlong with grad students Alex Krizhevsky and Sutskever, Dr Hinton founded DNNresearch to concentrate their joint work on machine learning. But in 2012, another milestone, as he and two other researchers - including future OpenAI co-founder Ilya Sutskever - won a competition for building a computer vision system that could recognise hundreds of objects in pictures. He continued to collaborate with like-minded colleagues and students, fascinated by how computers could be trained to think, see, and understand.ĭr Hinton told CBS News it was work sceptics once dismissed as "nonsense". Dr Hinton's pioneering research didn't stop there, instead he would continue "popping up like Forrest Gump" at points in time that would prove crucial to where we are now with AI in 2023, a drastic period of technological advancement he recently compared to "the Industrial Revolution, or electricity… or maybe the wheel".Ī year after the publication of the backpropagation paper in 1986, Dr Hinton started a programme dedicated to machine learning at the University of Toronto.
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