• CWA11 - How AI is Changing Agriculture, Serg Masís
    Feb 17 2023

    01:13 Serg's story: computer science, graphics, web

    05:10 Serg's transition from web development to data science: optimizing engagement

    21:06 Master's in data science after career experience

    21:59 Interpretable machine learning

    24:21 Intepretation for consumers

    25:08 Interpretation for engineers

    28:42 The subjectivity of interpretability

    33:34 Agriculture and data

    39:49 Climate change and agriculture

    41:06 Food insecurity by 2050

    44:37 Agriculture excitements

    45:15 How people can contribute to food security

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    47 mins
  • CWA10 - How Close AI is to Humans, Tristan Thrush
    Jan 6 2023
    • 01:26  - Tristan's story
    • 05:53 how life differs between MIT, Meta, and Hugging Face
    • 16:04 What's an AI language model?
    • 18:58 the importance of data versus AI models or architectures
    • 22:25 what makes certain model architectures better
    • 23:55 Tristan's AI experience
    • 25:50 how AI has changed over the last 10 years
    • 30:20 Big AI issues we have not solved. 
    • 37:11 The road ahead: Solutions concerns, excitements
    • 43:59 advice to the AI consumers
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    46 mins
  • CWA9 - What AI is doing to music, Dr. Tristan Behrens
    Dec 4 2022
    • 1:24 Tristan’s Story
    • 5:05 Using AI in music (deep learning)
    • 10:31 AI music community
    • 12:37 Quality AI-assisted songs
    • 13:33: Generating singing with text
    • 16:15 Future of AI in music
    • 23:25 Augmenting human creativity with AI
    • 28:43 The future for artists
    • 30:44 AI effect on music consumption by society
    • 35:47 How coders can try making music with AI
    • 38:48 How non-coders can make music with AI
    • 40:35 Resources and articles
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    42 mins
  • CWA8 - Can NLP change the world? Alireza Goudarzi, PhD
    Nov 11 2022
    • 1:05 Why and how Alireza got into research
    • 3:50 Alireza’s research: Complex systems and Reservoir Computing
    • 5:53 How reservoir computing ties in with neural networks
    • 7:55 Alireza’s postdoc
    • 8:53 Transitioning from academic research to industry: why?
    • 10:47 Transition from academic research to industry: was it easy?
    • 12:23 Current research (GitHub Copilot)
    • 13:09 Software writing software – the history
    • 14:41 Using neural networks to write software
    • 16:53 The future of NLP – challenges and opportunities
    • 20:28 Replacing software engineers with AI
    • 24:10 NLP and voice assistance
    • 26:26 Worries in NLP
    • 29:03 Evolving the job market
    • 33:47 NLP and everyday life
    • 35:30 Bonus
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    37 mins
  • CWA7 - AI opportunities in MENA - Christophe Zoghbi
    Oct 19 2022
    • 1:28 Chris’s story (Software engineer, Android Engineer, Backend Engineer, first AI startup…)
    • 5:24 Starting an AI Community in Lebanon
    • 7:42 How that AI community became a business (Zaka)
    • 9:42 What MENA means, Zaka business growth
    • 20:30 Background of attendees background and conversion to jobs
    • 23:59 AI in MENA (investments, competition, opportunities, challenges)
    • 33:31 Gap between MENA vs UAE and Saudi Arabia
    • 36:51 AI to kids in MENA
    • 40:20 Internet issues
    • 43:30 Resources and articles
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    46 mins
  • CWA6 - How to benefit from AI’s transformation of digital content - Jacques Alomo
    Oct 3 2022
    • 1:00 Jacque’s story
    • 4:30 The place of digital content in eLearning and frames/animations 
    • 6:40 How AI has affected digital content
    • 9:25 How creatives are reacting to AI
    • 11:35 The future of digital art (stable diffusion, voice controlled visual editors, personal advertising…)
    • 17:00 Concerns about the rise of AI
    • 25:20 The most exciting areas for AI in digital content
    • 26:35 How AI digital content is going to change individuals
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    31 mins
  • CWA5: How AI is affecting biology and biotech - Peter Holderrieth
    Sep 19 2022

    1:10 Peter’s Journey from Pure Math to Statistics to Neuroscience, Machine Learning, AI, and biotech. 

    8:38 The difference between math and biology.

    13:53 Statistics and its place in machine learning (compared to neuroscience and computer science)

    20:36 Biotech and AI: past, present, and future

    28:45 Worries in biotech AI

    33:28 Excitements in biotech AI

    37:04 The effect of AI on biotech that’s not motivated by diseases

    39:55 The future is in combining scientific knowledge and machine intelligence

    47:47 Recommendations by Peter

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    51 mins
  • CWA4: Human Brains vs Artificial Brains - Sergey Shuvaev
    Sep 5 2022
    • 1:25 Sergey’s story
    • 5:27 NeuroAI and how it differs from neuroscience and AI
    • 14:06 The potential benefits of NeuroAI including efficient neural networks and an improved understanding of behaviour
    • 20:31 Concerns about neuroAI
    • 24:22 Sergey’s work at Cold Spring Harbour lab about motivation in AI
    • 29:25 Motivation in AI

    Social:  

    • Twitter: https://twitter.com/coexistwithai
    • LinkedIn: https://www.linkedin.com/company/82373280/
    • Facebook: https://www.facebook.com/people/Coexisting-With-AI/100083734423543/
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    38 mins