People of AI

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

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

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

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

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!