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    Home » Meet the MIT Technology Review AI team in London
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    Meet the MIT Technology Review AI team in London

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    Meet the MIT Technology Review AI team in London
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    The AI Act’s Impacts on Policy and Regulations
    The AI Act is right here, and firms in the US and the UK must adjust to it in the event that they need to do enterprise in the EU. I will likely be sitting down with Dragoș Tudorache, one in all the key politicians behind the legislation, to stroll you thru what firms have to consider proper now. 

    Venturing into AI Opportunity
    The European startup scene has lengthy performed second fiddle to the US. But with the rise of open-source AI unicorn Mistral and others, hopes are rising that European startups may turn into extra aggressive in the international AI market. Paul Murphy, a accomplice at enterprise capital agency Lightspeed, one in all the first funds to take a position in Mistral, will inform us all about his predictions. 

    The Business of Solving Big Challenges with AI
    Colin Murdoch, Google DeepMind’s chief enterprise officer, will present us why AI is a lot greater than generative AI and the way it will help remedy society’s best challenges, from gene modifying to sustainable vitality and computing. 

    And the greatest little bit of all: the post-conference drinks! A convention in London wouldn’t be almost as enjoyable with out some good old style networking in a pub afterward. So be a part of us April 16–17 in London, and get the inside scoop on how AI is reworking the world. Get your tickets right here. 

    Before you go… We have a freebie to present you a taster of the occasion. Join me and MIT Technology Review’s editors Niall Firth and David Rotman for a free half-hour LinkedIn Live session at the moment, March 26. We’ll talk about how AI is altering the approach we work. Bring your questions and tune in right here  at 4pm GMT/12pm EDT/9am EDT.


    Deeper Learning

    The tech trade can’t agree on what open-source AI means. That’s an issue.

    Suddenly, “open source” is the newest buzzword in AI circles. Meta has pledged to create open-source synthetic common intelligence. And Elon Musk is suing OpenAI over its lack of open-source AI fashions. Meanwhile, a rising variety of tech leaders and firms are setting themselves up as open-source champions. But there’s a basic drawback—nobody can agree on what “open-source AI” means. 

    Definitions wished: Open-source AI guarantees a future the place anybody can participate in the know-how’s improvement. That may speed up innovation, increase transparency, and provides customers higher management over techniques that might quickly reshape many elements of our lives. But what even is it? What makes an AI mannequin open supply, and what disqualifies it? The solutions may have important ramifications for the way forward for the know-how. Read extra from Edd Gent.

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