People of AI

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 → https://goo.gle/443V3vG Deep Learning With Python, Second Edition → https://goo.gle/3UnpdH1  Intelligence: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines → https://goo.gle/3xDE33s Researcher Pierre-Yves Oudeyer → https://goo.gle/3W8a39V Monty Hall Challenge → https://goo.gle/3VYXAW5  Machine Learning: Keras 3 → https://goo.gle/3JqRgis Gemma on Keras → https://goo.gle/49Q0pfy The ARC challenge on Kaggle → https://goo.gle/3xQsDcr 

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 → https://goo.gle/3VW2O50 Which jobs will survive AI → https://goo.gle/3xz0BlT Lunch and Learn → https://goo.gle/4cPjO2L Lonely Octopus → https://goo.gle/3TXuvrc  The Defining Decade & Identity Capital → https://goo.gle/3TXukfE The Unfair Advantage → https://goo.gle/3vUMNkY The Future of Jobs Report 2023 → https://goo.gle/3vVBSHJ AI Exposure and Complementarity → https://goo.gle/43QTGR7 Building Agents → https://goo.gle/43QTVeZ   Gemma: Introducing new state-of-the-art open models → https://goo.gle/3UYQksT Fine-Tuning Gemma Models in Hugging Face → https://goo.gle/3TiAU1m Gemma models in Kaggle → https://goo.gle/48ypQ4p Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → https://goo.gle/3Tf1wjA Google AI Studios → https://goo.gle/3P3eCxM   Gemini Era links: Announcement → https://goo.gle/3uYRhGM Gemini API → https://goo.gle/3T1kmJS

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 → https://goo.gle/4as2nnu Gemma: Introducing new state-of-the-art open models → https://goo.gle/3UYQksT Fine-Tuning Gemma Models in Hugging Face → https://goo.gle/3TiAU1m Gemma models in Kaggle → https://goo.gle/48ypQ4p Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → https://goo.gle/3Tf1wjA Google AI Studios → https://goo.gle/3P3eCxM  Gemini Era links:  Announcement → https://goo.gle/3uYRhGM Gemini API → https://goo.gle/3T1kmJS  Responsible AI: Conversation with Tulsee Doshi → https://goo.gle/4a75OzA Responsible Generative AI Toolkit → https://goo.gle/4czolWO  Levels of AGI: Operationalizing Progress on the Path to AGI → https://goo.gle/3TJMKR4  Carl McBride Notebook → https://goo.gle/3vEgfM0 

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 → https://goo.gle/3UYQksT Fine-Tuning Gemma Models in Hugging Face → https://goo.gle/3TiAU1m Gemma models in Kaggle → https://goo.gle/48ypQ4p Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → https://goo.gle/3Tf1wjA Google AI Studios → https://goo.gle/3P3eCxM  Gemini Era links: Announcement → https://goo.gle/3uYRhGM Gemini API → https://goo.gle/3T1kmJS  TensorFlow → https://goo.gle/3BwLZSN  Responsible AI: Conversation with Tulsee Doshi → https://goo.gle/4a75OzA Responsible Generative AI Toolkit → https://goo.gle/4czolWO 

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 → https://goo.gle/3UYQksT Fine-Tuning Gemma Models in Hugging Face → https://goo.gle/3TiAU1m Gemma models in Kaggle → https://goo.gle/48ypQ4p Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → https://goo.gle/3Tf1wjA  Google AI Studios → https://goo.gle/3P3eCxM  Gemini Era links: Announcement → https://goo.gle/3uYRhGM Gemini API → https://goo.gle/3T1kmJS  Project IDX → https://goo.gle/3Pq6HLx Introducing Project IDX → https://goo.gle/49Aib6W   

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 → https://goo.gle/3OIzcDv AI-enabled ultrasound → https://goo.gle/3OEqyG3  Maternal, Newborn & Child Health Discovery & Tools at the gates Foundation  → https://goo.gle/48ny1Al

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 → https://goo.gle/TF-blog Scratch → https://goo.gle/3SkYJnp AutoABI App → https://goo.gle/3unSIOH Signer - AI Sign Translator → https://goo.gle/3SoheHr L2 Code 4 Kids → https://goo.gle/3ufsazk Get involved Foundation → https://goo.gle/49iDsBO  Watch more People of AI → https://goo.gle/PAI    Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow     

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: https://goo.gle/3NmN068 United Nations Environment Programme World Conservation Monitoring Centre: https://goo.gle/41k9Alz Carto: https://goo.gle/3uQNg6Z Google Labs: https://goo.gle/487pTUU   

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 → https://goo.gle/46An65L  Responsible AI Toolkit → https://goo.gle/4a0z3EE  PAIR Guidebook → https://goo.gle/4830hc5  Monk Skin Tone Scale → https://goo.gle/46HLdPZ  Get started → https://goo.gle/3N6RehW   

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 → https://goo.gle/3G5Vj2d

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   

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 → https://goo.gle/46D7hvI Google Research → https://goo.gle/48Wi2e9 Google Ads → https://goo.gle/3Qoy0GT AI for Anyone series on Google for Developers → https://goo.gle/46CNlsP     

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 → https://goo.gle/3PSvkjb TensorFlow → https://goo.gle/3ZQWgnY Firebase → https://goo.gle/3PPXGuj Simple ML for Sheets → https://goo.gle/3F9dyU1 Stability → https://goo.gle/3RPm02d 

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.

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: https://goo.gle/3VrCpJP  Responsible AI practices: https://goo.gle/41XVeqI 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

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 → https://goo.gle/3GRW939  WiML Blog post → https://goo.gle/3GS19Fi  Watch all the WiML 2022 sessions → https://goo.gle/3Ld11mb  Favorite book: The Adventures of Women in Tech: How We Got Here and Why We Stay → https://goo.gle/3UM5sHV  Simple ML for Sheets → https://goo.gle/3mMhN29    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  

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 → https://goo.gle/3oaXxr7    Resources: Website: https://goo.gle/3GFCWlc  Company: Infinite Red: https://goo.gle/3KWDzcW  Title: CIO – Chief Innovation Officer   Social Twitter: @GantLaborde  Medium: https://goo.gle/3ZYmFig  GitHub: https://goo.gle/3KUqsJb  LinkedIn: https://goo.gle/3muSUrC     Books: TensorFlow.js Book: https://amzn.to/3GzR9QK  All Books: https://goo.gle/3zR1zYq    Stuff Gant has made:  Harry Potter-inspired AR Sorting Hat: https://goo.gle/3MAn0ED  Enjoying the Show: https://goo.gle/3Uw2zL0  Time Warp Scan https://goo.gle/43vahZQ  NSFW JS: https://goo.gle/406OFQN  AI Trainable Tic Tac Toe: https://goo.gle/3MA5ErH    Rock Paper Scissors:  https://goo.gle/3o7r70O  TensorFlow.js - RGB channels to Red-Green Color Blind: https://goo.gle/3KAFfYd    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

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 → https://goo.gle/3nLBpDI  Software Engineering for Data Scientists → https://goo.gle/3Kz3F5u  TensorFlow Meets → https://goo.gle/43a8yZN  Twitter →https://goo.gle/3m8b0zq  LinkedIn →https://goo.gle/3ZJmd7o    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