People of AI
People of AI is a podcast showcasing inspiring people with interesting stories in the world of Artificial Intelligence (AI) and its subset, Machine Learning (ML). The podcast will interview leaders, practitioners, researchers and learners in the field of AI/ML and invite them to share their stories, what they are building, lessons learned along the way, and excitement for the AI/ML industry.
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François Chollet - Creating Keras 3
04/18/2024
François Chollet - Creating Keras 3
Meet François Chollet, creator of Keras, software engineer, and AI researcher at Google. Join François and hosts Ashley Oldacre and Gus Martins as they discuss how Keras 3 was created, integrating Keras 3 with Gemma and Kaggle, artificial general intelligence (AGI), and much more! Resources: François Chollet research → Deep Learning With Python, Second Edition → Intelligence: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines → Researcher Pierre-Yves Oudeyer → Monty Hall Challenge → Machine Learning: Keras 3 → Gemma on Keras → The ARC challenge on Kaggle →
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Upskill your career in AI
04/11/2024
Upskill your career in AI
Meet Tina Huang, a YouTuber and the Founder of Lonely Octopus, a program that teaches students AI skills and then matches them with real companies to work on developing AI solutions. Ashley Oldacre and Tina Huang discuss how to incorporate AI into your career, unfair advantages and identity capital, if AI will steal our jobs, and much more on this podcast People of AI episode. Resources: Tina Huang's YouTube Channel → Which jobs will survive AI → Lunch and Learn → Lonely Octopus → The Defining Decade & Identity Capital → The Unfair Advantage → The Future of Jobs Report 2023 → AI Exposure and Complementarity → Building Agents → Gemma: Introducing new state-of-the-art open models → Fine-Tuning Gemma Models in Hugging Face → Gemma models in Kaggle → Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → Google AI Studios → Gemini Era links: Announcement → Gemini API →
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Tris Warkentin - Introducing Gemma, Google's family of open models
04/04/2024
Tris Warkentin - Introducing Gemma, Google's family of open models
Meet Tris Warkentin, Product Management lead for Google DeepMind’s next-generation AI research, working to achieve Artificial General Intelligence (AGI). Learn about the Gemini ecosystem and Google’s newest family of open models, Gemma! Discover what it can do and why this is a monumental step for the developer community. Unpack the power and exciting new capabilities this will unleash in the hands of developers and how this has been a long tradition in Google history. Dive into what it means to release a generative model like this into the public, addressing potential concerns and the Responsible AI measures in place to mitigate unethical use. Learn about AGI, Tris’s start in the tech industry as a technical writing intern, and more on this People of AI episode hosted by Ashley and Gus! Resources: Gemma links: Gemma Developer Day 2024 → Gemma: Introducing new state-of-the-art open models → Fine-Tuning Gemma Models in Hugging Face → Gemma models in Kaggle → Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → Google AI Studios → Gemini Era links: Announcement → Gemini API → Responsible AI: Conversation with Tulsee Doshi → Responsible Generative AI Toolkit → Levels of AGI: Operationalizing Progress on the Path to AGI → Carl McBride Notebook →
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Kathleen Kenealy - Creating, building, and releasing Gemma, Google's open model family
03/28/2024
Kathleen Kenealy - Creating, building, and releasing Gemma, Google's open model family
Meet Kathleen Kenealy, a Software Engineer at Google DeepMind, working on the next generation of large language models (LLMs) and open models. In the episode we talk about Gemma, Google’s newest family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Join us as we unpack the history and the importance of open technology at Google and the advantages and risks of sharing cutting edge technology with the world. We learn how that open technology started Kathleen on her own journey into AI. Kathleen shares her experience growing her team from being the only team member at first working on Gemma, growing up loving STEM, her graduate school experience working with AI Chatbots, and more on this episode of People of AI hosted by Ashley Oldacre! Resources: Gemma links: Gemma: Introducing new state-of-the-art open models → Fine-Tuning Gemma Models in Hugging Face → Gemma models in Kaggle → Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → Google AI Studios → Gemini Era links: Announcement → Gemini API → TensorFlow → Responsible AI: Conversation with Tulsee Doshi → Responsible Generative AI Toolkit →
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Jeanine Banks - Leveraging the power of the developer community
03/21/2024
Jeanine Banks - Leveraging the power of the developer community
Meet Jeanine Banks, VP and GM of the Developer X and Developer Relations Business at Google. In this role, she empowers millions of developers to build AI enabled businesses and applications for billions of users worldwide. Hear about the latest Google AI ecosystem of tools from Gemini and Gemma to Projet IDX. Learn about her journey into the tech industry, solving real-world problems with AI, and how she is growing, connecting and supporting developer communities through multiple channels and events. Resources: Gemma links: Gemma: Introducing new state-of-the-art open models → Fine-Tuning Gemma Models in Hugging Face → Gemma models in Kaggle → Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → Google AI Studios → Gemini Era links: Announcement → Gemini API → Project IDX → Introducing Project IDX →
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Indira Negi - Investing in AI hardware for health
02/15/2024
Indira Negi - Investing in AI hardware for health
Meet Indira Negi, who leads efforts at the Bill and Melinda Gates Foundation to improve maternal and newborn health by investing in innovative tools to help with early diagnosis and reduce risk during pregnancy and labor. This People of AI podcast episode, we cover Indira’s background as an electrical engineer, her past experiences at Intel, leading the sensor engineering team for wearable devices, and how those adventures led her to the Bill and the Melinda Gates Foundation. Learn about the advantages and disadvantages of having chatbots in the medical field, projects she’s working on, and much more! Resources: GDG Silicon Valley Devfest presentation - AI in Health Tech by Indira Negi, Senior Advisor - Bill & Melinda Gates Foundation → AI-enabled ultrasound → Maternal, Newborn & Child Health Discovery & Tools at the gates Foundation →
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Adrit Rao - AI student, app developer, and researcher
02/08/2024
Adrit Rao - AI student, app developer, and researcher
Meet Adrit Rao, a high school student, app developer, and research intern at Stanford University. During elementary school lunch time he would develop games, it's no surprise he has launched 5 iOS apps at 12! This People of AI podcast episode explores how Adrit built his confidence through building apps, learning from the online community, cold calling for opportunities and landing a research internship to build an app with AI to diagnose and treat cardiovascular health issues. He shares his passion by teaching a coding camp for kids as young as elementary students, called Learn 2 Code 4 kids run by his non-profit Aretech in support of his local community. Resources: TensorFlow Blog → Scratch → AutoABI App → Signer - AI Sign Translator → L2 Code 4 Kids → Get involved Foundation → Watch more People of AI → Subscribe to the TensorFlow channel →
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Simon Tokumine - Gemini and the future of Generative AI tools
12/12/2023
Simon Tokumine - Gemini and the future of Generative AI tools
Meet Simon Tokumine, a Director of Product Management at Google leading teams for large language and multimodal model AI tools. On this episode of People of AI, hosts Ashely Oldacre, Luiz Gustavo Martins, and guest Simon chat about Gemini, Google’s latest AI multimodal model. Join us as we discuss the impacts of this new technology on product development and how this will impact human and machine interactions. Learn about Simon’s introduction to tech career from a background of environmental conservation, Product development, and much more! Resources: Gemini: United Nations Environment Programme World Conservation Monitoring Centre: Carto: Google Labs:
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Tulsee Doshi - Responsible AI and human centered technology
12/04/2023
Tulsee Doshi - Responsible AI and human centered technology
Meet Tulsee Doshi, Head of Product for Google’s Responsible AI and Human Centered Technology. She leads development of Google wide improvements, resources, and best practices for developing more inclusive and ethical products. She shares her journey from starting as an intern product manager through Google’s APM program to finding a career that allows her to mix her interdisciplinary interests to benefit users. Learn about adopting ethical and responsible technology principles to protect users and build better products on this episode of People of AI. Discover how easy it is to incorporate AI principles into products through a forward thinking mindset, Google’s Responsible AI Toolkit in TensorFlow and more. Resources: Google Associate Product Manager Program → Responsible AI Toolkit → PAIR Guidebook → Monk Skin Tone Scale → Get started →
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Anne Simonds and Brian Gary - Introducing Muse
11/16/2023
Anne Simonds and Brian Gary - Introducing Muse
Meet the co-founders of Muse System Enterprises, Anne Simonds and Brian Gary, on this episode of People of AI, hosted by Ashely Oldacre. Learn about Muse, the first intelligent system that synergizes domain expertise with cutting-edge ML and leverages a proprietary data science that unlocks, assists, and amplifies human creativity at scale. Muse empowers creators by delivering commercial content production from concepts to brainstorming, drafting, and more! Resources: Muse →
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Joyce Shen - AI innovation, acquisition, and responsibility in business
11/09/2023
Joyce Shen - AI innovation, acquisition, and responsibility in business
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 → Berkley courses → Books: From Talking to Doing: A Short Guide to Corporate Innovation Success Check it out Amazon → Check it out on Barnes & Noble → Blockchain in Financial Markets and Beyond: The Promises and Limitations of Blockchain: Taking Stock and Lessons Learned Check it out Amazon → Check it out on Risk→
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Crispin Velez - Cloud, community, and computing
11/02/2023
Crispin Velez - Cloud, community, and computing
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 → Vertex AI → Introduction to Vertex AI → Five generative AI use cases for the financial services industry → Vertex AI Foundations for secure and compliant ML/AI deployment →
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Sayak Paul - Getting started with community contributions, diffusion models, and more
10/26/2023
Sayak Paul - Getting started with community contributions, diffusion models, and more
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 → TF Hub → Hugging Face → Sayak bio and website → Sayak’s Twitter → Courses: Google Summer of Code→ fast.ai course → Coursera Deep Learning specialization → CS 231N - Stanford → Books: Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Author → Grokking Deep Learning First Edition, by Andrew Trask (Author) →
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Sunita Verma - How Generative AI will transform the way we work
10/19/2023
Sunita Verma - How Generative AI will transform the way we work
Meet Sunita Verma, the Vice President of Engineering at Google Core Labs. She shares her experience in tech from her start of loving problem solving in college to finding a passion for computer science, learning lessons in leadership, and working at Google over the past 16 years. Ashley, Gus, and Sunita talk about how generative AI will transform the way we work, how Google Core Labs accelerates the prototyping of research ideas, and the evolution of Ai in the past few years. Resources: Google Labs → Google Research → Google Ads → AI for Anyone series on Google for Developers →
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Season 2 - Gus and Ashley talk Generative AI
10/17/2023
Season 2 - Gus and Ashley talk Generative AI
Meet Ashley & Gus, your hosts for season 2 of People of AI. In this episode, Luis Gustavo Martins, also known as Gus, shares his personal and professional path from playing video games as a young child in Brazil to becoming a Developer Advocate at Google. (For Ashley’s story, check out episode 1) Ashley and Gus also talk about the explosive growth of Generative AI tools and the major technology shift that has happened in recent months, Google’s conversational AI, Bard, and much moreI! Resources: Bard → TensorFlow → Firebase → Simple ML for Sheets → Stability →
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Kind and helpful Machine Learning through UX research
05/18/2023
Kind and helpful Machine Learning through UX research
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: Tone Transfer: PAIR Guidebook: Machine Learning and UX (MLUX) Meetup Resource: What is Machine Learning + UX?: Stanford d.school on Designing Machine Learning: TensorFlow website → Michelle Carney Links Twitter: Linkedin: Machine Learning and UX (MLUX) Meetup Resources: What is MLUX?: MLUX twitter (@mluxeetup): MLUX meetup (you can see all of our past talks here!): MLUX youtube (all of our past recordings!): MLUX linkedin company page: 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.
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How to think about and build AI responsibly
05/04/2023
How to think about and build AI responsibly
There is a whole team at Google dedicated to designing AI best practices. They are committed to making progress in the responsible development of AI and share reliable, effective user-centered research, tools, datasets, and other resources with users. Meet one of the members of the team, Christina Greer, as she shares the in’s and out’s of working in the field of Responsible AI and how her personal experience and values make her a key player in this space! Resources: AI Principles: Responsible AI practices: Guest bio: Christina Greer is a software engineer at Google Research. A veteran of a variety of efforts across the company including ads, data processing pipelines, and Google Assistant, she joined Google Research in 2018 to focus on bias and fairness in ML. Since then, she has built both teams and software to support measuring and mitigating ML models for bias, and consults with products across Google to support building safer products that work for everyone. In her spare time, Christina is a creative writer and a mom of 2 great kids. #AI #ML
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Building an inclusive community in the field of Machine Learning
04/20/2023
Building an inclusive community in the field of Machine Learning
Meet Joana Carrasqueira as she talks about her amazing ability to grow community in the field of machine learning. Join us as we hear about her extraordinary journey from the non-profit sector to business and most recently into tech and how she leverages her superpower of bringing people together and fostering a culture of belonging. Resources: WiML → WiML Blog post → Watch all the WiML 2022 sessions → Favorite book: → Simple ML for Sheets → Guest bio: Joana Carrasqueira is the Developer Relations Lead at Google for the TensorFlow Community. She is committed to fostering healthy open source communities and to enable developers to solve impactful problems at scale. Prior to Google, she worked on innovation consulting for Forbes top 500 and served as Education Manager at the International Pharmaceutical Federation, working closely with WHO, UNESCO and the United Nations. Joana holds an MBA from IE Business School and a Master in Pharmaceutical Sciences. #AI #ML
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The secret sauce to creating amazing ML experiences for developers
04/13/2023
The secret sauce to creating amazing ML experiences for developers
From developing programs on a Pentium computer as a kid and programming in Visual Basic 6 to becoming a leader in software development for Machine Learning on the Web, join us as we learn about Gant’s journey to where he is today. And the secret sauce to all this? Gant’s creativity and curiosity that he mixes into his work, creating fun and amazing experiences for developers around the world. Learn more about how to be a Google Developer Expert → Resources: Website: Company: Infinite Red: Title: CIO – Chief Innovation Officer Social Twitter: @GantLaborde Medium: GitHub: LinkedIn: Books: TensorFlow.js Book: All Books: Stuff Gant has made: Harry Potter-inspired AR Sorting Hat: Enjoying the Show: Time Warp Scan NSFW JS: AI Trainable Tic Tac Toe: Rock Paper Scissors: TensorFlow.js - RGB channels to Red-Green Color Blind: Guest bio: Gant Laborde is the owner of Infinite Red and author of the popular O’Reilly book, “Learning TensorFlow.js”. By day he is a mentor, adjunct professor and award-winning speaker. For 20 years, he has been involved in software development, and is recognized as a Google Developer Expert in Web and Machine Learning. By night he is known as an “open sourcerer”, aspiring future mad scientist, illustrator and appears as an avatar in his latest children’s book, dedicated to his daughter and wife. #AI #ML
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Rocks, data science, and breaking into Machine Learning
04/06/2023
Rocks, data science, and breaking into Machine Learning
Meet Catherine Nelson, Principal Data Scientist at SAP Concur and author of the upcoming O’Reilly book “Software Engineering for Data Scientists”. Join us as we talk about Catherine's amazing career journey as she pivoted from geophysicist to working on setting the standard for building machine learning pipelines. According to Catherine, it all starts with how you prepare and train your data! Resources: Building Machine Learning Pipelines → Software Engineering for Data Scientists → TensorFlow Meets → Twitter → LinkedIn → Guest bio: Catherine Nelson is a data scientist and author of the upcoming O’Reilly book “Software Engineering for Data Scientists”. She is a Principal Data Scientist at SAP Concur, where she explores innovative ways to deliver production machine learning applications which improve a business traveler’s experience. Her key focus areas range from ML explainability and model analysis to privacy-preserving ML. She is also co-author of the O'Reilly publication “Building Machine Learning Pipelines", and she is an organizer for Seattle PyLadies, supporting women who code in Python. In her previous career as a geophysicist she studied ancient volcanoes and explored for oil in Greenland. Catherine has a PhD in geophysics from Durham University and a Masters of Earth Sciences from Oxford University. #AI #ML
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Machine Learning on the web
03/30/2023
Machine Learning on the web
Meet Jason Mayes, the public face of Web ML at Google and host of Made With TensorFlow.js. Join us as we talk about Jason’s journey and mission to make machine learning easy, fun and accessible on the web and how getting into the field of machine learning has never been easier. Made With TensorFlow.js Playlist: Learn Web ML on Google Developers: Connect with Jason on LinkedIn: Connect with Jason on Twitter: Connect with Jason on Discord: Guest bio: Jason Mayes is the public face of Web ML at Google. He helps web engineers around the globe take their first steps with machine learning in JavaScript, pushing the boundaries of what's possible in web-based machine learning which has grown exponentially. He also combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with over 15 years experience working within web engineering and investigating emerging technologies. #AI #ML #MadeWithTFJS #WebML
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The language of Machine Learning
03/23/2023
The language of Machine Learning
Meet Sharon Zhou, an adjunct faculty member at Stanford University and co-founder of Stealth Startup. Join us as we talk about the power and interconnectedness of language as we dive into generative AI models, stable diffusion, large language models, and learn how every problem – according to Sharon – is just a translation problem. Check out Sharon’s startup here: Learn more about Sharon’s courses here: Build Basic Generative Adversarial Networks (GANs) → Build Better Generative Adversarial Networks (GANs) → Apply Generative Adversarial Networks (GANs) → CS236G Generative Adversarial Networks (GANs) → Guest bio: Sharon Zhou is currently an adjunct faculty member at Stanford University where she defended her PhD (in an impressive 3.5 years) on generative AI models, advised by Andrew Ng. She is also the co-founder of Stealth Startup, working on democratizing access and ease of use of AI by making it easier to program and customize large language models. She has a passion for teaching AI and is currently teaching 80,000 students about GANs, diffusion models and more on Coursera, and was an AI advisor to key AI policymakers in Washington D.C. Fun facts about Sharon: she was the first student in the history of Harvard University to major in Classics and Computer Science, and is featured in MIT Technology Review's 35 Under 35. To top that, she is also a poet. #AI #ML
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What it means to be a person of AI
03/16/2023
What it means to be a person of AI
Meet your hosts, Ashley Oldacre and Laurence Moroney, as we uncover what it means to be a person of AI. We talk about personal and professional journeys, lessons learned along the way, and how to get started in Artificial intelligence and Machine Learning. We share resources to get started and where we see the field going. Learn about the TensorFlow Certificate Program → Watch the AI for Anyone YouTube video series → All of the cool apps and products we mentioned can be found here → Powered by TensorFlow: Air Cognizer predicts air quality with machine learning → #AI #ML
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People of AI podcast coming soon!
03/08/2023
People of AI podcast coming soon!
Join Ashley Oldacre, ML program manager at Google, and Laurence Moroney, ML Developer Advocate at Google, to hear the stories of some incredible people behind machine learning and artificial intelligence. Whether you’re just getting started in AI/ML, or looking to expand your established experience, these stories are for you. We hope you will tune in!
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