Google Cloud Platform Podcast

Google Cloud Platform Podcast

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Google Cloud Platform Podcast episodes

  • Google Play Marketing with Dom Elliott and Stewart Bryson

    In this episode, Google Play Marketing is the customer of Google Cloud Platform.

    Melanie and Mark chat with Dom Elliott (Google Play) and Stewart Bryson (Red Pill Analytics)
    about how they use our big data processing and visualisation tools to introspect what is happening in the Google play ecosystem.

    32 min
  • Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell

    This week, we dive into machine learning bias and fairness from a social and technical perspective with machine learning research scientists Timnit Gebru from Microsoft and Margaret Mitchell (aka Meg, aka M.) from Google.

    They share with Melanie and Mark about ongoing efforts and resources to address bias and fairness including diversifying datasets, applying algorithmic techniques and expanding research team expertise and perspectives. There is not a simple solution to the challenge, and they give insights on what work in the broader community is in progress and where it is going.

    Timnit Gebru

    Timnit Gebru works in the Fairness Accountability Transparency and Ethics (FATE) group at the New York Lab. Prior to joining Microsoft Research, she was a PhD student in the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her main research interest is in data mining large-scale, publicly available images to gain sociological insight, and working on computer vision problems that arise as a result, including fine-grained image recognition, scalable annotation of images, and domain adaptation. The Economist and others have recently covered part of this work. She is currently studying how to take dataset bias into account while designing machine learning algorithms, and the ethical considerations underlying any data mining project. As a cofounder of the group Black in AI, she works to both increase diversity in the field and reduce the impact of racial bias in the data.

    Margaret Mitchell

    M. Mitchell is a Senior Research Scientist in Google's Research & Machine Intelligence group, working on artificial intelligence. Her research involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence toward positive goals. Margaret's work combines machine learning, computer vision, natural language processing, social media, and insights from cognitive science. Before Google, Margaret was a founding member of Microsoft Research's "Cognition" group, focused on advancing artificial intelligence, and a researcher in Microsoft Research's Natural Language Processing group.

    Cool things of the week
    • GPS/Cellular Asset Tracking using Google Cloud IoT Core, Firestore and MongooseOS blog
    • GPUs in Kubernetes Engine now available in beta blog
    • Announcing Spring Cloud GCP - integrating your favorite Java framework with Google Cloud blog
    Interview
    • PAIR | People+AI Research Initiative site
    • FATE | Fairness, Accountability, Transparency and Ethics in AI site
    • Fat* Conference site & resources
    • Joy Buolamwini site
    • Algorithmic Justice Leaguge site
    • ProPublica Machine Bias article
    • AI Ethics & Society Conference site
    • Ethics in NLP Conference site
    • FACETS site
    • TensorFlow Lattice repo

    Sample papers on bias and fairness:

    • Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification paper
    • Facial Recognition is Accurate, if You're a White Guy article
    • Mitigating Unwanted Biases with Adversarial Learning paper
    • Improving Smiling Detection with Race and Gender Diversity paper
    • Fairness Through Awareness paper
    • Avoiding Discrimination through Casual Reasoning paper
    • Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings paper
    • Satisfying Real-world Goals with Dataset Constraints paper
    • Axiomatic Attribution for Deep Networks paper
    • Monotonic Calibrated Interpolated Look-Up Tables paper
    • Equality of Opportunity in Machine Learning blog

    Additional links:

    • Bill Nye Saves the World Episode 3: Machines Take Over the World (includes Margaret Mitchell) site
    • "We're in a diversity crisis": Black in AI's founder on what's poisoning the algorithms in our lives article
    • Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru TWiML & AI podcast
    • Security and Safety in AI: Adversarial Examples, Bias and Trust with Mustapha Cisse TWiML & AI podcast
    • How we can build AI to help humans, not hurt us TED
    • PAIR Symposium conference
    Question of the week

    "Is there a gcp service that's cloud identity-aware proxy except for a static site that you host via cloud storage?"

    • Answer between Mark & KF
    • Cloud Identity-Aware Proxy site & docs
    • Cloud Storage site & docs
    • Hosting a Static Website on Cloud Storage site
    • Google App Engine site & docs
    • weasel repo
    Where can you find us next?

    Melanie will be at Fat* in New York in Feb.

    Mark will be at the Game Developer's Conference | GDC in March.

    43 min
  • Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell

    This week, we dive into machine learning bias and fairness from a social and technical perspective with machine learning research scientists Timnit Gebru from Microsoft and Margaret Mitchell (aka Meg, aka M.) from Google.

    They share with Melanie and Mark about ongoing efforts and resources to address bias and fairness including diversifying datasets, applying algorithmic techniques and expanding research team expertise and perspectives. There is not a simple solution to the challenge, and they give insights on what work in the broader community is in progress and where it is going.

    43 min
  • Open Source TensorFlow with Yifei Feng

    Yifei Feng talks with Mark and Melanie about working on the open source TensorFlow platform, the recent 1.5 release, and how her team engages and supports the growing community. She provides a great overview of what its like to work on an open source project and ways to get involved especially for anyone new to contributing.

    Yifei Feng

    Yifei is a software engineer on TensorFlow team. Her main focus is building tools and infractures to help TensorFlow engineers do their best work. She works on release and the open source process of TensorFlow. She also worked on TensorFlow's high level API and TensorFlow Serving.

    Cool things of the week
    • TensorFlow 1.5 Release blog
    • Use Forseti to make sure your Google Kubernetes Engine clusters are updated for Meltdown and Spectre blog
    • GCP arrives in Canada with launch of Montreal region blog
    Interview
    • TensorFlow site and github
    • TensorFlow Contributing Guidelines page
    • TensorFlow Summit site
    • Stack Overflow site
    • TensorFlow with Eli Bixby podcast
    • Cloud Machine Learning Engine with Yufeng Guo podcast
    • Learn TensorFlow without a PhD blog
    • AI Adventures YouTube
    Question of the week

    How do I design identity and access management policies policies for a GCP?

    • Toward effective cloud governance: designing policies for GCP customers large and small blog
    Where can you find us next?

    Melanie will be at Fat* in New York in Feb.

    Mark will be at the Game Developer's Conference | GDC in March.

    27 min
  • Open Source TensorFlow with Yifei Feng

    Yifei Feng talks with Mark and Melanie about working on the open source TensorFlow platform, the recent 1.5 release, and how her team engages and supports the growing community. She provides a great overview of what its like to work on an open source project and ways to get involved especially for anyone new to contributing.

    27 min
  • Percy.io with Mike Fotinakis

    We return once again to Continuous Integration tooling, this time with a visual spin. Mike Fotinakis joins Mark and Melanie to discuss how they use Google Cloud Platform to develop Percy, the platform for continuous visual reviews for web apps.

    Mike Fotinakis

    Mike is Co-Founder and CEO of Percy, where he is working on problems at the intersection of design, development, and deployment. Mike has previously worked as an engineer at companies including Google, Science Exchange, and AltSchool, and is now enjoying building his first company from the ground up. Sometimes, he even enjoys things that don't involve computers at all, including rock climbing, coffee, classical singing, and scuba diving.

    Cool things of the week
    • OpenCensus: A Stats Collection and Distributed Tracing Framework blog medium
    • London Zoo trials facial recognition technology to help track elephants in the wild blog
    • Cloud Dataflow and the Tram Challenge youtube
    Interview
    • Percy site docs
    • Google Kubernetes Engine site docs
    • Google Cloud Storage site docs
    • Google Cloud SQL site docs
    • Redis Labs Cloud site
    • Google Cloud Platform Pricing Calculator site
    • Ember Conf site

    Percy.io

    Question of the week

    I would love a weekly roundup of news about Google Cloud Platform - where can I get one?

    • This week in GCP medium
    Where can you find us next?

    Melanie will be at FOSDEM in Brussels this weekend.

    Mark will be at the Game Developer's Conference | GDC in March.

    35 min
  • Percy.io with Mike Fotinakis

    We return once again to Continuous Integration tooling, this time with a visual spin. Mike Fotinakis joins

    Mark and Melanie to discuss how they use Google Cloud Platform
    to develop Percy, the platform for continuous visual reviews for web apps.

    36 min
  • Google Cloud Platform with Sam Ramji

    The delightful Sam Ramji joins Mark and Melanie this week to talk about Google Cloud Platform, Open Source, Distributed Systems and Philosophy and how they are all interrelated.

    Sam Ramji

    A 20+ year veteran of the Silicon Valley and Seattle technology scenes, Sam Ramji is VP Product Management for Google Cloud Platform (GCP). He was the founding CEO of Cloud Foundry Foundation, was Chief Strategy Officer for Apigee (APIC), designed and led Microsoft's open source strategy, founded the Outercurve Foundation, and drove product strategy for BEA WebLogic Integration. Previously he built distributed systems and client software at firms including Broderbund, Fair Isaac, and Ofoto. He is an advisor to multiple companies including Accenture, Insight Engines, and the Linux Foundation, and served on the World Economic Forum's Industrial Internet Working Group. He received his B.S. in Cognitive Science from UCSD in 1994.

    Cool things of the week
    • An example escalation policy — CRE life lessons blog
    • The new Google Arts & Culture, on exhibit now blog
    • Five Days of Kubernetes 1.9 blog
    • Kubernetes Comic site
    Interview
    • The Case for Learned Index Structures paper
    • CAP Theorem wikipedia
    • Databricks site
    • Spinnaker site
    • Tensor Processing Units site
    • 38 Special - Hold On Loosely youtube
    Question of the week

    I would like to run a Google Cloud Function every day/week/hour etc - but there is no cron ability in Cloud Functions (yet?). How can I do this now?

    • Functions Cron github
    Where can you find us next?

    Melanie is speaking at AI Congress in London Jan 30th and she will be at FOSDEM in Brussels in Feb.

    Mark will be at the Game Developer's Conference | GDC in March.

    38 min
  • CPU Vulnerability Security with Matt Linton and Paul Turner

    Bringing you a special second episode this week with Matt Linton and Paul Turner sharing insights with Mark and Melanie about the CPU vulnerabilities, Spectre & Meltdown, and how Google coordinated and managed security with the broader community. We talked about how there has been minimal to no performance impact for GCP users and GCP's Live Migration helped deploy patches and mitigations without requiring maintenance downtime.

    Due to the special nature, no cool things or question included on this podcast.

    About Matt Linton

    Matt is an Incident Manager (aka Chaos Specialists) for Google, which means his team is on-call to handle suspected security incidents and other major urgent issues.

    About Paul Turner

    Paul is a Software Engineer specializing in operating systems, concurrency, and performance.

    Interview
    • Protecting our Google Cloud customers from new vulnerabilities without impacting performance blog
    • What Google Cloud, G Suite and Chrome customers need to know about the CPU vulnerability blog
    • Google Security Blog, Today's CPU vulnerability: what you need to know blog
    • ProjectZero News and Updates by Yann Horn blog
    • Spectre Attack paper
    • Meltdown Paper paper
    • Intel Security Center site
    • Intel Analysis of Speculative Side Channels site
    • An Update on AMD Processor Security: site
    • ARM Processor Security Update site
    • GCP Compute Engine Live Migration docs
    • GCP Security Overview site

    Patch your operating systems and all the things. Keep updated.

    29 min

About Google Cloud Platform Podcast

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The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to BigQuery.