01:13 Serg's story: computer science, graphics, web05:10 Serg's transition from web development to data science: optimizing engagement21:06 Master's in data science after career experience21:59 Interpretable machine learning24:21 Intepretation for consumers25:08 Interpretation for engineers28:42 The subjectivity of interpretability33:34 Agriculture and data39:49 Climate change and agriculture41:06 Food insecurity by 205044:37 Agriculture excitements45:15 How people can contribute to food security
01:26 - Tristan's story05:53 how life differs between MIT, Meta, and Hugging Face16:04 What's an AI language model?18:58 the importance of data versus AI models or architectures22:25 what makes certain model architectures better23:55 Tristan's AI experience25:50 how AI has changed over the last 10 years30:20 Big AI issues we have not solved. 37:11 The road ahead: Solutions concerns, excitements43:59 advice to the AI consumers
1:24 Tristan’s Story5:05 Using AI in music (deep learning)10:31 AI music community12:37 Quality AI-assisted songs13:33: Generating singing with text16:15 Future of AI in music23:25 Augmenting human creativity with AI28:43 The future for artists30:44 AI effect on music consumption by society35:47 How coders can try making music with AI38:48 How non-coders can make music with AI40:35 Resources and articles
1:05 Why and how Alireza got into research3:50 Alireza’s research: Complex systems and Reservoir Computing5:53 How reservoir computing ties in with neural networks7:55 Alireza’s postdoc8:53 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 history14:41 Using neural networks to write software16:53 The future of NLP – challenges and opportunities20:28 Replacing software engineers with AI24:10 NLP and voice assistance26:26 Worries in NLP29:03 Evolving the job market33:47 NLP and everyday life35:30 Bonus
1:28 Chris’s story (Software engineer, Android Engineer, Backend Engineer, first AI startup…)5:24 Starting an AI Community in Lebanon7:42 How that AI community became a business (Zaka)9:42 What MENA means, Zaka business growth20:30 Background of attendees background and conversion to jobs23:59 AI in MENA (investments, competition, opportunities, challenges)33:31 Gap between MENA vs UAE and Saudi Arabia36:51 AI to kids in MENA40:20 Internet issues43:30 Resources and articles
1:00 Jacque’s story4:30 The place of digital content in eLearning and frames/animations 6:40 How AI has affected digital content9:25 How creatives are reacting to AI11:35 The future of digital art (stable diffusion, voice controlled visual editors, personal advertising…)17:00 Concerns about the rise of AI25:20 The most exciting areas for AI in digital content26:35 How AI digital content is going to change individuals
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 future28:45 Worries in biotech AI33:28 Excitements in biotech AI37:04 The effect of AI on biotech that’s not motivated by diseases39:55 The future is in combining scientific knowledge and machine intelligence47:47 Recommendations by Peter
1:25 Sergey’s story5:27 NeuroAI and how it differs from neuroscience and AI14:06 The potential benefits of NeuroAI including efficient neural networks and an improved understanding of behaviour20:31 Concerns about neuroAI24:22 Sergey’s work at Cold Spring Harbour lab about motivation in AI29:25 Motivation in AISocial: Twitter: https://twitter.com/coexistwithaiLinkedIn: https://www.linkedin.com/company/82373280/Facebook: https://www.facebook.com/people/Coexisting-With-AI/100083734423543/
We talk with Michael Skupien about:3:39 Michael’s time at Y combinator8:31 How self-driving AI compares to HR AI, and why is Tesla special?15:35 How to prevent AI from propagating racist hiring bias21:40 AI optimizing human resources26:15 Why AI has not affected the mental health space, and what can Meta do?33:53 General intelligence and the future of AI Social: Twitter: https://twitter.com/coexistwithaiLinkedIn: https://www.linkedin.com/company/82373280/Facebook: https://www.facebook.com/people/Coexisting-With-AI/100083734423543/
We talk with Edward Ho about:1:30 his career path and why he chose to pursue medicine,9:10 the impact AI has had on radiology,13:00 AI radiology initiatives in Toronto,14:38 the future impact of AI on doctors, and the importance of personal touch versus advanced knowledge,20:50 who might want to be seen by an AI doctor,23:20 and why medical curricula should include AI.Social: Twitter: https://twitter.com/coexistwithaiLinkedIn: https://www.linkedin.com/company/82373280/Facebook: https://www.facebook.com/people/Coexisting-With-AI/100083734423543/
LinkedIn: https://www.linkedin.com/company/coexisting-with-ai/Facebook: https://www.facebook.com/people/Coexisting-With-AI/100083734423543/Twitter: https://twitter.com/coexistwithaiDavid DeVries talks about how he got into software and medical research, why he switched to AI, his research on using AI to inform treatment of cancer that metastasized to the brain, how deep learning affected AI in general and more specifically his area of research, patient data concerns, the possibility of an AI winter, and more!