People of AI

Meet Adrit Rao, a high school student, app developer, and research intern at Stanford University. He discusses how he built his confidence through app development, learning from the online community, and landing a research internship to build an AI app for cardiovascular health. He also teaches coding to young students and talks about the importance of app development in engaging young people in coding.

Simon Tokumine, Director of Product Management at Google, discusses Gemini, Google's latest AI multimodal model, its impact on product development and human-machine interactions. He shares his career journey from environmental work to tech, and talks about building better models with user feedback and the potential of multimodal models in improving communication and accessibility.

Tulsee Doshi, Head of Product for Google’s Responsible AI and Human Centered Technology, shares her unique journey from intern to leader in ethical AI development. She discusses the importance of interdisciplinary approaches to create inclusive products. The conversation highlights strategies for incorporating responsible AI principles into technology and emphasizes the role of product managers in fostering collaboration. Tulsee also explains how to balance user diversity with innovation, ensuring technology prioritizes ethics and inclusivity while enhancing user trust.

Meet Anne Simonds and Brian Gary, co-founders of Muse System Enterprises, discussing their innovative Muse system that combines human creativity with ML technology. They explore how Muse empowers creators in content production, the intersection of technology and creativity, and the evolution of generative AI in enhancing idea generation and execution.

Meet Joyce Shen, a venture investor focused on emerging technology and AI companies. Learn about startups, acquisitions, and mergers on this episode of People of AI. Joyce shares her career journey in statistics and economics and how she brought her unique experience into building a model for IBM to apply to acquisitions and evaluate startups. Ashley, Gus, and Joyce talk about challenges that businesses are currently facing to integrate or acquire other AI businesses, building trust amongst customers and consumers, and much more.  Resources: Joyce’s picks: readings in ML/AI →  https://goo.gle/3MzNwxi Berkley courses → https://goo.gle/47lLXef  Books: From Talking to Doing: A Short Guide to Corporate Innovation Success Check it out Amazon → https://goo.gle/40tnaT8  Check it out on Barnes & Noble → https://goo.gle/3MButCz Blockchain in Financial Markets and Beyond: The Promises and Limitations of Blockchain: Taking Stock and Lessons Learned Check it out Amazon → https://goo.gle/3SACPhE Check it out on Risk→ https://goo.gle/3udEL5r

Meet Crispin Velez, an AI Architect at Google Cloud and  leader of Vertex AI. Find out how he works with clients, partners and sales teams to adopt ML/AI using Google Cloud. Ashley, Gus and Crispin talk about Google Cloud, the history of cloud computing, creation of Vertex AI, and more. Crispin shares his experience expanding the SpaLatam TensorFlow community in Columbia and mentoring startups on behalf of Google’s Startup initiative. Discover how you can grow a local AI/ML community.   Resources: Google Cloud Platforms → https://goo.gle/47jW9nD Vertex AI → https://goo.gle/3tZSX27 Introduction to Vertex AI → https://goo.gle/3QlgOki  Five generative AI use cases for the financial services industry → https://goo.gle/47amAMZ  Vertex AI Foundations for secure and compliant ML/AI deployment → https://goo.gle/45YbclQ   

Meet Sayak Paul, a Machine Learning Engineer specializing in diffusion models at Hugging Face and GDE for ML and Google Cloud. He shares how his community contributions led him towards getting his current dream job at Hugging Face. Join Ashley, Gus, and Sayak for a chat about resources for developers to get into machine learning, how diffusion models have exploded in the past year, the role of responsible AI and much more.  Resources mentioned: Google Developer Expert Program → https://goo.gle/3S6IVGo TF Hub → https://goo.gle/3S5t9LY Hugging Face →https://goo.gle/45KyBXC Sayak bio and website → https://goo.gle/3Mas9Cv Sayak’s Twitter → https://goo.gle/3QtxEO7  Courses: Google Summer of Code→ https://goo.gle/3Fv2CA4 fast.ai course → https://goo.gle/45HRLxp Coursera Deep Learning specialization → https://goo.gle/3S8Kljx CS 231N - Stanford → https://goo.gle/3QvIt3o Books: Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Author) → https://goo.gle/493iJm3 Grokking Deep Learning First Edition, by Andrew Trask (Author) → https://goo.gle/40fNX5y   

Sunita Verma, VP of Engineering at Google, discusses the transformative power of generative AI in the workplace. The evolution of AI from basic systems to cutting-edge technology is explored. Insights into fostering success through collaboration, mobility, and diversity are shared. Future impacts of technology on work environments and society are considered. Advice is given to young tech enthusiasts on leveraging online resources for skill-building.

In this podcast, Gus shares his journey from Brazil to Google, the growth of Generative AI tools like Bard, and Google's conversational AI. The discussion includes the evolution of AI models and societal implications, AI as a writing tool, and perspectives from industry experts on the future of AI.

Meet Michelle Carney, a Machine Learning User Experience Researcher at Google. Join us as we learn how her careers in music, neuroscience, teaching, and machine learning have informed her ability to understand how people use Machine Learning tools, and provide better feedback to help make these tools more useful, helpful, kind, and inclusive of all types of user experiences.    Resources: Visual Blocks for ML: https://goo.gle/3OfanzO  Tone Transfer: https://goo.gle/3On9xku  PAIR Guidebook: https://goo.gle/3Mx4Gff  Machine Learning and UX (MLUX) Meetup Resource: https://goo.gle/mluxresources  What is Machine Learning + UX?: https://goo.gle/42KWHB3  Stanford d.school on Designing Machine Learning: https://goo.gle/3OeRaOJ  TensorFlow website → https://goo.gle/3BwLZSN    Michelle Carney Links Twitter: https://goo.gle/3WfxMDc  Linkedin: https://goo.gle/432u0PG    Machine Learning and UX (MLUX) Meetup Resources: https://goo.gle/mluxresources What is MLUX?: https://goo.gle/42KWHB3 MLUX twitter (@mluxeetup):  https://goo.gle/436wGMo MLUX meetup (you can see all of our past talks here!):  https://goo.gle/41QpMts MLUX youtube (all of our past recordings!): https://goo.gle/42Ipt5a MLUX linkedin company page:  https://goo.gle/45c5oWM    Guest bio:  Michelle Carney is a Computational Neuroscientist turned User Experience (UX) Researcher, whose practice focuses on the intersection of Data Science and UX. Currently a Senior UX Researcher on Google’s Tensorflow Team, Michelle's projects focus on combining Machine Learning and UX. Her work includes Magenta’s latest Tone Transfer project and People + AI Research team. Outside of work, Michelle organizes the Machine Learning and UX Meetup, and teaches at the Stanford d.school on Designing Machine Learning.