Coexisting with AI: Recent Episodes
Nassir Al-Khishman
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
- 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
- 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
- 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
- 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
- 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
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
- 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/
We talk with Michael Skupien about:
- 3:39 Michael’s time at Y combinator
- 8:31 How self-driving AI compares to HR AI, and why is Tesla special?
- 15:35 How to prevent AI from propagating racist hiring bias
- 21:40 AI optimizing human resources
- 26:15 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/coexistwithai
- LinkedIn: 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/coexistwithai
- LinkedIn: 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/coexistwithai
David 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!