Machine Learning to Augment Human Creativity — from Code to Songwriting + Q/A at the end

Join Tanmay Bakshi and GDSC Carleton University and find out how machine learning can be used for Songwriting and a Q/A at the end.

Jan 24, 2022, 11:00 PM – Jan 25, 2022, 12:00 AM

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Key Themes

Career DevelopmentMachine Learning

About this event

Join Tanmay Bakshi and GDSC Carleton University and find out how machine learning can be used to create your own songs and also use machine learning to predict song lyrics. Make sure you stay tuned for the Q/A session at the end of the event! 

Tanmay Bakshi is an 18-year-old Canadian, TED & Global Keynote speaker, Google Developer Expert for Machine Learning, Advisory Software Engineer at IBM, Visiting Professor at university in Tokyo, Bestselling Author, Media Personality, and YouTuber. Tanmay’s been featured in The Toronto Star, Forbes, Bloomberg Businessweek, Entrepreneur, The Huffington Post, The Wall Street Journal, The New York Times, CNBC, CBC, and more. He builds the technology we’ll all be using tomorrow and dreams of empowering at least 100,000 people in his lifetime with the technology they need to change the world. He’s addressed over 300,000 executives, developers, and students in over 30 countries, for organizations including The United Nations, Apple, Walmart, Microsoft, KPMG, Linux Foundation, and Amazon, on topics like the truth behind AI and making technology accessible to all. Augmenting songwriters, recognizing people by their heartbeat, decoding mental states from EEG —just a few of the ways he’s applied next-gen tech. 




Speaker

  • Tanmay Bakshi

    IBM

    Application Architecht

Organizers

  • Arsh Sanzi

    Carleton University

    GDSC Lead

  • Riya Rawat

    Marketing Lead

  • Raef Sarofiem

    Community Engagement Associate

  • Saim Hashmi

    Community Engagement Associate

  • Saumya Mehta

    Co-Solution Challenge Lead

  • Kanav Pandey

    Co-Solution Challenge Lead

  • Gayathri menon

    Finance Lead

  • Aniedi Udo-Obong

    Regional Leader

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