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Pub. DateTitleDuration
18 Apr 2024François Chollet - Creating Keras 301:05:32

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 

08 Feb 2024Adrit Rao - AI student, app developer, and researcher00:47:14

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 

 

 

04 Apr 2024Tris Warkentin - Introducing Gemma, Google's family of open models00:58:02

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 

18 May 2023Kind and helpful Machine Learning through UX research00:29:05

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.

11 Apr 2024Upskill your career in AI00:52:01

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

04 Dec 2023Tulsee Doshi - Responsible AI and human centered technology00:51:30

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 

 

12 Dec 2023Simon Tokumine - Gemini and the future of Generative AI tools00:48:29

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 

 

17 Jan 2025Building human-centered AI products with Ovetta Sampson00:57:49

Meet Ovetta Sampson, Director of UX for AI compute enablement at Google. She shares her unique path from journalism to AI, including her work on groundbreaking projects prioritizing human-centered design principles. Discover valuable insights into making AI more accessible, the importance of responsible development, and more in this episode of People of AI.

Resources:

Generative AI and creative arms race → https://goo.gle/4jdALHg 

Lessons Learned from Mixing Data Science and Design Research Methods to Improve Customer Service → https://goo.gle/4jdALHg 

AI Ethics → https://goo.gle/4aoUpvX 

24 Oct 2024How AI is revolutionizing sign language recognition with Sam Sepah and Thad Starner01:16:03

Meet today’s guests Sam Sepah and Thad Starner. Sam Sepah, an AI/ML Research Manager at Google, drives innovation in accessibility technology for users with deafness and other disabilities. Thad Starner is a Georgia Tech Professor, wearable computing pioneer, and staff research scientist at Google working on sign language recognition. Explore the transformative impact of AI on sign language recognition and accessibility from the Kaggle competition to Pop Sign AI, and much more!

Resources:
Kaggle → https://goo.gle/3YCcjau
Kaggle Competitions → https://goo.gle/3NDqzcz
PopSign Game → https://goo.gle/3UinxhJ
Precious PopSign Kaggle Competition → https://goo.gle/3Ui5s3q 

#PeopleofAI

 

26 Jun 2024Google I/O Special with Mat Velloso and Logan Kilpatrick01:00:18

Join host Ashley Oldacre and guests Mat Velloso, VP of ML developer products at Google, and Logan Kilpatrick, Product Lead for Google AI, for a special episode on the latest on AI, recorded right from Google I/O.

Resources:
Top AI developer news from Google IO 2024 → https://goo.gle/3VZhwry
Google I/O 2024 recap → https://goo.gle/3RL8Pyi
Project Astr →: https://goo.gle/3W2rloI
Google AI Studio → https://goo.gle/4eCP6e5
Colab → https://goo.gle/3VJ421P
Kaggle → https://goo.gle/3RKKZ65
Anders Hejlsberg → https://goo.gle/3VYolcE
The Culture Code by Daniel Coyle → https://goo.gle/45IWbWh
Jaron Lanier → https://goo.gle/3xpjW9r
Range by David Epstein → https://goo.gle/45J3zkP 

Games:
Flappy Bird Game → https://goo.gle/4bqTcD7 

07 Nov 20243-step approach to mobile app compliance with Checks co-founders Fergus Hurley and Nia Castelly01:00:18

Meet Fergus Hurley and Nia Castelly, co-funders of Checks, Google's AI-powered compliance platform. Fergus Hurley, Product Management Director at Google Cloud in addition to General Manager and Co-founder of Checks, and Nia Castelly, Co-Founder and Head of Legal at Checks, share the inner workings of Checks. Discover how they built Checks initially leveraging natural language processing (NLP) and, now Gemini, to review and analyze privacy policies at scale. Learn about their three-step approach that can detect what an app says it does, how they test apps to see what’s going on, AI safety measures, Android vitals, and much more in this episode of People of AI.

Resources:
Checks → https://goo.gle/4ejR81h

Code compliance → https://goo.gle/3YGOH30

Blog: Checks, Google’s AI-powered privacy platform → https://goo.gle/4fszoSu  

The new new thing → https://goo.gle/3ChItPK 

GDPR → https://goo.gle/3NVO0hg 

Android Vitals → https://goo.gle/3YTs9xu 

The Singularity is Near → https://goo.gle/4fzcMQ5

20 Apr 2023Building an inclusive community in the field of Machine Learning00:32:44

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 Stayhttps://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

 

21 Nov 2024NotebookLM with Steven Johnson and Raiza Martin01:01:49

Explore the fascinating world of AI and its potential to transform how we work, learn, and create with NotebookLM. Join guests Steven Johnson, Editorial Director of Notebook LM, and Raiza Martin, Senior Product Manager at Google Labs, leading Notebook LM for a deep dive into the inspiration, development, practical use cases, and more in this People of AI episode.


Resouces:
A.I. Is Mastering Language. Should We Trust What It Says? → https://goo.gle/3Cub1Wd 
NotebookLM website→ https://goo.gle/3UZOwPe 
Create your first notebook→ https://goo.gle/3OflIPc 
Adjacent possible newsletter → https://goo.gle/3AGpe21 

 

 

#TensorFlow #PeopleofAI

 

 

13 Apr 2023The secret sauce to creating amazing ML experiences for developers00:30:45

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

09 Nov 2023Joyce Shen - AI innovation, acquisition, and responsibility in business00:48:45

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

08 Mar 2023People of AI podcast coming soon!00:01:00

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! 

30 Mar 2023Machine Learning on the web00:29:17

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: http://goo.gle/made-with-tfjs 

Learn Web ML on Google Developers: https://goo.gle/Learn-WebML 

Connect with Jason on LinkedIn: https://goo.gle/3zcift1 

Connect with Jason on Twitter: https://goo.gle/3Xh6MT7 

Connect with Jason on Discord: https://goo.gle/3zeoMU1 



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

15 Feb 2024Indira Negi - Investing in AI hardware for health01:02:22

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

21 Mar 2024Jeanine Banks - Leveraging the power of the developer community00:56:31

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 

 

14 Nov 2024Responsible AI panel at DevFest Silicon Valley 202400:46:15

Join People of AI host Ashley Oldacre as she moderates a panel on Responsible AI at DevFest Silicon Valley. Ashley teams up with four industry experts to discuss their personal journeys in technology and explore the future of AI. Learn how these experts keep responsible AI at the forefront of emerging technologies.

Resources:

Learn more about the amazing panelists: 

Jigyasa Grover, Lead, AI & Research at Bordo AI → https://goo.gle/3Z42QJb 

 

Deepa Subramanian, Google Developer Expert → https://goo.gle/3AE5P1v 

Daniel Goncharov, AI Research Engineer, Stanford University School of Medicine → https://goo.gle/40M2hF4 


Vikram Tiwari, Lead ML Engineer, Assembled → https://goo.gle/4eJB3m1

14 Jan 2025The intersection of AI, art, and design with Douglas Edric Stanley and Anthony Masure00:47:16

Join Ashley Oldacre as she hosts a conversation with artist Douglas Edrick Stanley and Dean of Research at Geneva University of Art and Design Anthony Masure. They discuss their origin stories, the role of AI in creative fields, and the value of critical thinking in a technology-driven world.

Resources:

Geneva School of Art and Design: https://goo.gle/4fNLYvh 

Anthony Masure: https://goo.gle/3PsxiqH 

Douglas Edric Stanley: https://goo.gle/4gJRu3f 

Artificial Design: Creation Versus Machine Learning: https://goo.gle/40mIGuy 

Art school in Aix-en-Provence: https://goo.gle/3PspDIV 

Caran D’Ache: https://goo.gle/4gKn4xL 

Drawing and AI: https://goo.gle/4jcmDhF 

Artists: Varvara & Mar: https://goo.gle/3BX0djF 

Assembling Intelligence Exhibition: https://goo.gle/3Pslg0x 

Myth of Janus: https://goo.gle/405CHZL 

 

#PeopleofAI

26 Oct 2023Sayak Paul - Getting started with community contributions, diffusion models, and more00:45:21

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 

 

16 Mar 2023What it means to be a person of AI00:28:13

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  → https://goo.gle/TF-dev-certificate

Watch the AI for Anyone YouTube video series → https://goo.gle/AIfAnyone

All of the cool apps and products we mentioned can be found here → https://goo.gle/3JORHEB

Powered by TensorFlow: Air Cognizer predicts air quality with machine learning → https://goo.gle/3JhUaWt

#AI #ML

06 Apr 2023Rocks, data science, and breaking into Machine Learning00:23:59

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

17 Oct 2023Season 2 - Gus and Ashley talk Generative AI00:41:58

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 

02 Nov 2023Crispin Velez - Cloud, community, and computing00:50:54

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 

 

16 Nov 2023Anne Simonds and Brian Gary - Introducing Muse00:47:42

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

08 Jul 2024Google I/O Special with Sachin Kotwani00:40:13

Join host Ashley Oldacre and guest Sachin Kotwani, Google’s On-Device ML Lead for a second special Google I/O episode. This interview dives deep into the world of Edge AI. Learn about the value, advantages and the future of on-device AI, and how it’s already making waves through initiatives like Project Game Face, and much more.

Resources:
Andrew Ng’s DeepLearning.AI  course → https://goo.gle/3xS1Z3j 

ML Kit → https://goo.gle/3XIwqne 

Sachin on Google AI Edge at Google I/O → https://goo.gle/3VMC3hE 

Google AI Edge website → https://goo.gle/3xuSmHW 

Project Gameface → https://goo.gle/4cBeLlE  

AI Edge Torch → https://goo.gle/3XMsule 

LLM On-Device with MediaPipe and TensorFlow Lite → https://goo.gle/3La0KQa

Model Explorer → https://goo.gle/3RRqapE 

 

04 May 2023How to think about and build AI responsibly00:27:16

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

23 Mar 2023The language of Machine Learning00:29:01

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: https://goo.gle/3TENTJk 

 

Learn more about Sharon’s courses here:

Build Basic Generative Adversarial Networks (GANs) → https://goo.gle/3lr3AqU 

Build Better Generative Adversarial Networks (GANs) → https://goo.gle/3JAPgUA  

Apply Generative Adversarial Networks (GANs) → https://goo.gle/3ZdaoWK

CS236G Generative Adversarial Networks (GANs) → https://goo.gle/3TCVhEX 

 

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

19 Oct 2023Sunita Verma - How Generative AI will transform the way we work00:48:36

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 

 

 

28 Mar 2024Kathleen Kenealy - Creating, building, and releasing Gemma, Google's open model family00:54:49

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 

05 Dec 2024Digital health with Dr. Oliver Aalami00:45:54

Discover the fascinating world of digital health innovation with a leading expert in vascular surgery and digital health innovation, Dr. Oliver Aalami. In this insightful People of AI episode, Dr. Aalami shares his path to medicine, his passion for integrating technology in patient care, and his role as director of Stanford’s Biodesign for Digital Health program. Explore the groundbreaking projects and initiatives shaping the future of healthcare.

Resources:
Stanford profile → https://goo.gle/49nPZF7
Biodesign for Digital Health → https://goo.gle/4fYf0ZV
GitHub Stanford Spezi → https://goo.gle/4g9TZLS
21st Century Cures Act → https://goo.gle/41BwsPV

Chapters:
0:00 - Introduction
0:33 - Dr. Alami’s journey
6:08 - Biodesign for Digital health intro
24:29 - GitHub Spezi
26:44 - Where does AI come into digital health?
32:50 - Use cases and examples
41:27 - What does it mean to be a person of AI? 

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