Platforms Windows, Linux, Apple all the Tech Info you can Handle on the Various Platforms

Platforms Windows, Linux, Apple all the Tech Info you can Handle on the Various Platforms
By Tech Podcast Network
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Whether you are a Windows Fan, Linux Fanatic or a Apple Fanboy this is the place to check out all the variety of platforms.
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By Allan Metzler, Dann Washko, Linc Fessenden, Pat Davilia
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By Chester Wisniewski and John Shier
Latest episodes
Feb. 14, 2018
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 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.
Feb. 7, 2018
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.
Jan. 31, 2018
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 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.
Jan. 24, 2018
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.
Jan. 17, 2018
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.
Jan. 17, 2018
Amy Unruh and Sara Robinson join the podcast this week to talk with Mark and Melanie about the alpha launch of Cloud AutoML Vision. Cloud AutoML is a suite of products enabling developers with limited ML expertise to build high quality models using transfer learning and Neural Architecture Search techniques. AutoML Vision is the first product out the gate with a focus on making it easy to train customized vision models. About Amy Unruh Amy is a developer relations engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI and has also worked at several startups, done industrial R&D, and published a book on App Engine. About Sara Robinson Sara is a developer relations engineer on Google’s Cloud Platform team, focusing on big data and machine learning. She worked on providing initial product feedback and building a demo for the AutoML Vision launch. Cool things of the week Google Brain Looking Back on 2017 blog Shout-out to Kaz Sato for his TensorFlow Rock Paper Scissors example Running dedicated game servers in Kubernetes Engine blog Kaggle Learn site Honorable mention… - Scientists put a worm brain in a lego robot blog Interview Cloud AutoML: Making AI accessible to every business blog Cloud AutoML Vision site Cloud AutoML Vision Access Request | Whitelist Application form Cloud images example video Shout-out thanks to Rob Carver for domain expertise in helping label cloud images. Coastline images example readme and filenames csv Using Machine Learning to Explore Neural Network Architecture blog Learning Transferable Architecture for Scalable Image Recognition arXiv paper Neural Architecture Search with Reinforcement Learning arXiv paper Progressive Neural Architecture Search arXiv paper Learning2learn video Cloud Vision site docs Question of the week How does someone in academia get GCP credits? Google Cloud Platform Education Grants site 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.
Jan. 10, 2018
Launchpad Studio, a product development acceleration program focused on helping machine learning startups iterate quickly, fail fast, and collaborate on best practices. Malika Cantor and Peter Norvig talk with Mark and Melanie this week about how the Launchpad Studio program is helping startups overcome data, expertise and tooling barriers by providing access to talent and resources and building universal best practices. About Malika Cantor Malika is the Global Lead for Google Launchpad Studio. Launchpad is the acceleration engine of Google - running a number of accelerator programs focused on supporting the global startup ecosystem. Prior to joining Google, Malika was a co-founder and partner at Comet Labs, a venture capital firm and experimental research lab focused on investing and supporting applied AI startups. She has worked with founders for around 6 years, in London, Beijing, Singapore, Toronto, and Silicon Valley. About Peter Norvig Peter Norvig is a Director of Research at Google; previously he directed Google’s core search algorithms group. He is a fellow and councilor of the Association for the Advancement of Artificial Intelligence and co-author, with Stuart Russell, of Artificial Intelligence: A Modern Approach, now the leading college text in the field. He was head of the Computational Sciences Division (now the Intelligent Systems Division) at NASA Ames Research Center. Cool things of the week Introducing Preemptible GPUS: 50% off blog How We Implemented a Fully Serverless Recommender System Using GCP blog Awesome lists repo: Awesome Google Cloud Platform repo Awesome Kubernetes repo Awesome TensorFlow repo Awesome Firebase repo Interview Launchpad Studio site Verily site DeepMind site Cloud AI site Cloud Machine Leanring Engine site TensorFlow site Android Things site Question of the week How does a startup get GCP credits? Google Cloud Platform Startup Program site CPU Vulnerability Links What Google Cloud, G Suite and Chrome customers need to know about the industry-wide CPU vulnerability blog Google Security Blog, Today’s CPU vulnerability: what you need to know blog ProjectZero News and Updates blog Where can you find us next? San Francisco
Dec. 13, 2017
This week we get the band back together! Francesc Campoy Flores rejoins the show along with Director of Google Cloud Developer Relations Greg Wilson to talk all about 2017 and Google Cloud with Mark and Melanie About Francesc Campoy Flores Francesc Campoy Flores is the VP of Developer Relations at source{d}, He’s also a Gopher, Catalan, LGBTQIA advocate, previous Google employee (and Podcast host), and creator of the Just For Func YouTube series! About Greg Wilson Greg Wilson is the Director of Google Cloud Developer Relations, overseeing developer relations work across both G Suite and Google Cloud Platform. Cool things of the week Jeff Dean’s tak at NIPS on ML for Systems and Systems for ML sides The Case for Learned Index Structures paper KubeFlow github hackernews Manage Google Kubernetes Engine from Cloud Console dashboard, now generally available blog Interview Top 5 Downloaded Episode of 2017 #88 Kubernetes 1.7 with Tim Hockin #91 The Future of Media with Machine Learning with Amit Pande #93 What’s AI with Melanie Warrick #75 Container Engine with Chen Goldberg #100 Vint Cerf: past, present, and future of the internet Greg’s Favourites #57 Pokémon GO with Edward Wu, Director of Software Engineering at Niantic #68 The Home Depot with William Bonnell #86 Broad Institute and Platinum Customers with Lukas Karlsson and Mike Altarace Francesc’s Favourites #62 Cloud Spanner with Deepti Srivastava Mark’s Favourites The SRE Category on GCP Podcast Melanie’s Favourites #57 Pokémon GO with Edward Wu, Director of Software Engineering at Niantic Favourite announcements, products and more at Google Cloud Platform Cloud Spanner Cloud Machine Learning Engine TensorFlow GCE Virtual Machines, e.g. Pre-emptible VMs Go 1.8 on App Engine Cheaper GPUs Kubernetes Question of the week What were your personal highlights for 2017? Mark Getting involved with SIG API Machinery with Kubernetes Melanie Watching Haben Girma, the first Deafblind Graduate of Harvard Law School, speak about accessibility in tech. Where can you find us next? It’s the end of the year! So we’ll be taking a break, and returning in January 2018!
Dec. 6, 2017
Deep Kapadia and JP Robinson from New York Times join Mark and Francesc to discuss how they use Google Cloud Platform to serve the New York Times to its readers. About JP Robinson JP Robinson maintains NYT’s internal and open source tools and frameworks that are related to the Go programming language. He also lead backend development of NYT’s games platform. Recently his team completely rewrote our backend with Go and GCP tools. In doing so they’ve managed to significantly lower request latencies and cut costs in half. About Deep Kapadia Deep Kapadia manages the Infrastructure and Delivery Engineering, Site Reliability and Test Automation teams at The New York Times. His teams are responsible for providing other engineering teams with tools and processes needed to get their jobs done on a day to day basis. His teams recently have been working on building the GKE deployment pipeline and enabling other teams to migrate to the Cloud from our physical datacenters and also moving their entire edge and routing caching architecture from internally hosted varnish to Fastly. They also helped move most of their site behind HTTPS. Cool things of the week Cutting cluster management fees on Google Kubernetes Engine blog Coming in 2018: GCP’s Hong Kong region blog Introducing an easy way to deploy containers on Google Compute Engine virtual machines blog Interview New York Times Crossword site Moving The New York Times Games Platform to Google App Engine blog New York Times in 1996 webarchive Google App Engine site docs Cloud Datastore site docs Kubernetes Engine site docs Cloud Pub/Sub site docs Google BigQuery site docs Cloud Endpoints site docs Drone GAE github Drone GKE github Marvin github openapi2proto github gRPC site New York Time Open site Question of the week What best practices are there for securing a Kubernetes Engine Cluster? Precious cargo: Securing containers with Kubernetes Engine 1.8 blog Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be at NIPS (Neural Information Processing Systems) in Long Beach and will also be attending Black in AI on December 8th.
Nov. 29, 2017
Myles Borins talks with Mark and Francesc about Node.js from its history, how to contribute, the consensus-seeking governance, and why it’s important to Google Cloud Platform. Node.js is an open-source, JavaScript runtime environment built on Chrome’s V8 JavaScript engine, and Google is a Platinum Member of the Node.js Foundation. About Myles Borins Myles Borins is a developer, musician, artist, and maker he works for Google as a developer advocate serving the Node.js ecosystem he graduated with a Master of Music Science and Technology from c.c.r.m.a. a.k.a the center for computer research in music and acoustics Cool things of the week Reduced GPU prices on GCP and preemptible local SSDs blog Skylake processors now available in 7 regions blog New Episodes of Learn TensorFlow and Deep Learning, without a PhD: Modern Convolutional Neural Nets video Modern RNN Architectures video Deep Reinforcement Leanring video Interview Node.js site Node.js on Google Cloud Platform site docs Node School site Node.js with Justin Beckwith podcast App Engine site docs Cloud Functions site docs Kubernetes Engine site doc Introduction to Kubernetes: How to Deploy a Node.js Docker App site site Question of the week How do you give public postmordems? Fearless shared postmortems - CRE life lessons blog Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be at SOCML (Self-Organizing Conference on Machine Learning) end of this week and NIPS (Neural Information Processing Systems) in Long Beach next week.