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

By Tech Podcast Network

About this podcast   English    United States

Whether you are a Windows Fan, Linux Fanatic or a Apple Fanboy this is the place to check out all the variety of platforms.
In this podcast

Apple

Technology

Windows

Machine generated. There may be errors. Report errors to us.
April 18, 2018
Nick Sullivan, and Adam Langley join Melanie and Mark to provide a pragmatic view on post-quantum cryptography and what it means to research security for the potential of quantum computing. Post-quantum cryptography is about developing algorithms that are resistant to quantum computers in conjunction with “classical” computers. It’s about looking at the full picture of potential threats and planning on how to address them using a diversity of types of mathematics in the research. Adam and Nick help clarify the different terminology and techniques that are applied in the research and give a practical understanding of what to expect from a security perspective. Nick Sullivan Nick Sullivan runs the cryptography team at Cloudflare, an internet security and performance company. Adam Langley Adam Langley is a Principal Software Engineer at Google, responsible for a variety of cryptography-related efforts. Cool things of the week Google IO site & IO Extended Events site App Engine Turns 10 blog Introducing Stackdriver APM & Stackdriver Profiler blog & article Smart Parking story: Cloud-native architecture with serverless microservices blog part1 Implementing an event-driven architecture on serverless blog part2 What we learned doing serverless blog part3 Episode 102 Smart Parking and IoT Core with Brian Granatir podcast Interview Quantum Computing simple wiki & wiki Post-Quantum Cryptography wiki & site Chrome post-quantum algorithm experiment 2016 blog & wired article & results Imperial Violet by Adam Langley blog Post-quantum confidentiality for TLS blog Cloudflare Blog by Nick Sullivan blog National Institute of Standards and Technology (NIST) site & round 1 submissions PQ Crypto Conference site Additional References / Resources: Quantum Cryptography wiki & article Quantum Supremacy wiki and arXiv paper Lattice-based Cryptography wiki & resources RSA algorithm wiki Symmetric and Asymmetric (Public key) Encription explanation Confidentiality and Integrity explanation Schrodinger’s cat wiki Shor’s algorithm wiki Quest for the Quantum Computer book Meet the meQuanics - Quantum Computing Discussions site & podcast Question of the week How to stream realtime coding? Lessons for my First Year Live Coding on Twitch - Suz Hinton blog Get a good microphone Open Broadcast Software Twitch TV Mark’s Twitch Site Where can you find us next? San Francisco
April 17, 2018
The last Chromest Netcast. Dr. Bill says goodbye to the Chromest Netcast, but not to his YouTube Channel! Stay tuned for the Dr. Bill.TV Show! The Chromest Netcast #16 on YouTube Chromest Netcast RSS Video Feed Chromest Netcast RSS Audio Feed The post The Chromest Netcast #17 – Video – “The Final Shiny Chrome Netcast” appeared first on Chromest - The Chrome Expert!.
April 17, 2018
The last Chromest Netcast. Dr. Bill says goodbye to the Chromest Netcast, but not to his YouTube Channel! Stay tuned for the Dr. Bill.TV Show! The Chromest Netcast #16 on YouTube Chromest Netcast RSS Video Feed Chromest Netcast RSS Audio Feed The post The Chromest Netcast #17 – Audio – “The Final Shiny Chrome Netcast” appeared first on Chromest - The Chrome Expert!.
April 11, 2018
Jessica Forde, Yuvi Panda and Chris Holdgraf join Melanie and Mark to discuss Project Jupyter from it’s interactive notebook origin story to the various open source modular projects it’s grown into supporting data research and applications. We dive specifically into JupyterHub using Kubernetes to enable a multi-user server. We also talk about Binder, an interactive development environment that makes work easily reproducible. Jessica Forde Jessica Forde is a Project Jupyter Maintainer and a visiting academic at NYU Center for Data Science. Her research focus is applications that allow for human interaction, primarily in healthcare. Jessica is also a data scientist at Careful, a sports medicine startup. Her interest in industrial applications of reinforcement learning began at Columbia, where she developed energy-saving software for skyscrapers in Manhattan, which she demoed at NIPS. Previously, Jessica developed the DARPA-funded open source machine learning library, datamicroscopes, at Qadium. She has worked with consultants at McKinsey to provide data-driven human resources recommendations to clients. Yuvi Panda Yuvi Panda is the Project Jupyter Technical Operations Architect in the UC Berkeley Data Sciences Division. He works on making it easy for people who don’t traditionally consider themselves “programmers” to do things with code. He builds tools (e.g., Quarry, PAWS, etc.) to sidestep the list of historical accidents that constitute the “command line tax” that people have to pay before doing productive things with computing. Chris Holdgraf Chris Holdgraf is a is a Project Jupyter Maintainer and Data Science Fellow at the Berkeley Institute for Data Science and a Community Architect at the Data Science Education Program at UC Berkeley. His background is in cognitive and computational neuroscience, where he used predictive models to understand the auditory system in the human brain. He’s interested in the boundary between technology, open-source software, and scientific workflows, as well as creating new pathways for this kind of work in science and the academy. He’s a core member of Project Jupyter, specifically working with JupyterHub and Binder, two open-source projects that make it easier for researchers and educators to do their work in the cloud. He works on these core tools, along with research and educational projects that use these tools at Berkeley and in the broader open science community. Cool things of the week Dragonball hosted on GC / powered by Spanner blog and GDC presentation at Developer Day Cloud Text-to-Speech API powered by DeepMind WaveNet blog and docs Now you can deploy to Kubernetes Engine from Gitlab blog Interview Jupyter site JupyterHub github Binder site and docs JupyterLab site Kubernetes site github Jupyter Notebook github LIGO (Laser Interferometer Gravitational-Wave Observatory) site and binder Paul Romer, World Bank Chief Economist blog and jupyter notebook Data 8: The Foundations of Data Science site Zero to JupyterHub site JupyterHub Deploy Docker github Jupyter Gitter channels Jupyter Pop-Up, May 15th site JupyterCon, Aug 21-24 site Question of the week How did Google’s predictions do during March Madness? How to build a realt time prediction model: Architecting live NCAA predictions Final Four halftime - fed data from first half to create prediction on second half and created a 30 second spot that ran on CBS before game play sample prediction ad Kaggle Competition site Where can you find us next? Melanie is speaking about AI at Techtonica today, and April 14th will be participating in a panel on Diversity and Inclusion at the Harker Research Symposium
April 4, 2018
Paris Pittman and Garrett Rodrigues join Mark and Melanie to discuss the Contributor Experience on Kubernetes, and how people can get involved with Kubernetes! Paris Pittman Co-Chair of Contributor Experience Special Interest Group for Kubernetes. Bay Area Kubernetes Meetup Co-Organizer Paris is a Developer Relations Program Manager on the Google Cloud Open Source Strategy team focusing on Kubernetes Community. She has 13 years of professional experience in attracting, retaining, growing, and incentivizing engineering talent for organizations and open source projects. She has also been organizing communities in one form or another for over 20 years, and at one point ran enough hackathons and meetups to subsist solely on the free pizza leftovers. Garrett Rodrigues Technical Lead of the Contributor Experience SIG for Kubernetes. Garrett is a Technical Program Manager at Google, and he joined the Kubernetes and GKE Team at Google in June 2016. As a lead of ContribX, he has focused on scaling the Kubernetes project in a sustainable way. Garrett developed a lot of the tooling and automation to support OSS code review, issue triage, and data collection about the project. In addition to his work on Contributor Experience, Garrett is currently involved with the app-def working group to get a new declarative application management tool released. Cool things of the week Highlights from the TensorFlow Developer Summit, 2018 blog TensorFlow Hub site Announcing TensorRT integration with TensorFlow 1.7 blog Announcing Google Cloud Security Talks during RSA Conference 2018 blog Exploring container security: An overview blog How to run Windows Containers on Compute Engine blog Interview Kubernetes site github Kubernetes SIGs and Working Groups github Kubernetes Community Content github Kubernetes Contributor Guide github Kubernetes slack join! Kubernetes design proposals github Kubernetes Issues help wanted Kubernetes Contributor Summit site Kubernetes Weekly Community Meeting github Dev Statistics site Kubernetes Mentoring Initiatives github Question of the week If I need to temporarily increases the power of a Cloud Shell, how do I do that? Boost Mode docs Justin Garrison tweet Where can you find us next? Melanie will be speaking about AI at Techtonica on April 11th, and April 14th will be participating in a panel on Diversity and Inclusion at the Harker Research Symposium
March 28, 2018
Nenad Stojanovski and Andrew Hoying join Mark and Melanie this week to discuss Forseti - open source tools for Google Cloud Platform security. Nenad Stojanovski Staff Security Engineer, Spotify Andrew Hoying Andrew Hoying is a Senior Security Engineer at Google. His goal is to ensure all services built by Google and running on Google Cloud Platform have the same, or better, security assurances as services running in any other environment. He is also a top contributor to the Forseti Security open-source project, helping enterprises monitor and secure their GCP environments. Cool things of the week Shopify’s Infrastructure Collaboration with Google blog Kubernetes Engine Private Clusters now available in beta blog Easy HPC clusters on GCP with Slurm blog Understand your spending at a glance with Google Cloud Billing reports beta blog Interview Forseti Security site docs github Forseti Inventory docs Forseti Scanner docs Forseti Enforcer docs Forseti Rule Files docs Google Cloud Shell site docs Forseti Security Question of the week How do I automatically scan the Docker images in your Google Cloud Repository for known vulnerabilities? Scanning Vulnerabilities in Docker images blog Container Registry Vulnerability Scanning docs Where can you find us next? Melanie will be speaking about AI at Techtonica on April 11th, and April 14th will be participating in a panel on Diversity and Inclusion at the Harker Research Symposium
March 27, 2018
Acer Chrome Tablet – the first Chrome OS tablet, ten tips and tricks to become a Chrome master! Two USB-C adapters worth considering for your Chromebook! The Chromest Netcast #16 on YouTube Chromest Netcast RSS Video Feed Chromest Netcast RSS Audio Feed The post The Chromest Netcast #16 – Video – “Acer Chrome Tablet, and More” appeared first on Chromest - The Chrome Expert!.
March 27, 2018
Acer Chrome Tablet – the first Chrome OS tablet, ten tips and tricks to become a Chrome master! Two USB-C adapters worth considering for your Chromebook! The Chromest Netcast #16 on YouTube Chromest Netcast RSS Video Feed Chromest Netcast RSS Audio Feed The post The Chromest Netcast #16 – Audio – “Acer Chrome Tablet, and More” appeared first on Chromest - The Chrome Expert!.
March 21, 2018
Bryan Catanzaro, the VP Applied Deep Learning Research at NVIDIA, joins Mark and Melanie this week to discuss how his team uses applied deep learning to make NVIDIA products and processes better. We talk about parallel processing and compute with GPUs as well as his team’s research in graphics, text and audio to change how these forms of communication are created and rendered by using deep learning. This week we are also joined by a special co-host, Sherol Chen who is a developer advocate on GCP and machine learning researcher on Magenta at Google. Listen at the end of the podcast where Mark and Sherol chat about all things GDC. Bryan Catanzaro Bryan Catanzaro is VP of Applied Deep Learning Research at NVIDIA, where he leads a team solving problems in domains ranging from video games to chip design using deep learning. Bryan earned his PhD from Berkeley, where he focused on parallel computing, machine learning, and programming models. He earned his MS and BS from Brigham Young University, where he worked on higher radix floating-point representations for FPGAs. Bryan worked at Baidu to create next generation systems for training and deploying deep learning models for speech recognition. Before that, he was a researcher at NVIDIA, where he worked on programming models for parallel processors, as well as libraries for deep learning, which culminated in the creation of the widely used CUDNN library. Cool things of the week NVIDIA Tesla V100s coming to Google Cloud site Automatic Severless Deployment with Cloud Source Repositories blog Magenta site NSynth Super site MusicVAE site Making music using new sounds generated with machine learnnig blog Building Blocks of Interpretability blog Interview NVIDIA site NVIDIA GPU Technology Conference (GTC) site CUDA site cuDNN site NVIDIA Volta site NVIDIA Tesla P4 docs NVIDIA Tesla V100s site Silicon Valley AI Lab Baidu Research site ICML: International Conference on Machine Learning site CVPR: Computer Vision and Pattern Recognition Conference site Referenced Papers & Research: Deep learning with COTS HPC System paper Building High-level Features Using Large Scale Unsupervised Learning paper OpenAI Learning to Generate Reviews and Discovering Sentiment paper Progressive Growing of GANs for Improved Quality, Stability, and Variation paper and CelebA dataset High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs paper Deep Image Prior site How a Japanese cucumber farmer is using deep learning and TensorFlow blog Sample Talks: Future of AI Hardware Panel video High Performance Computing is Supercharging AI blog/video AI Podcast: Where is Deep Learning Going Next? blog/video Sample Resources: Coursera How Google does Machine Learning site NVIDIA Deep Learning Institute site Udacity AI Nanodegree site Kaggle site TensorFlow site PyTorch site Keras site Question of the week What to watch out for and get involved in at the Game Developers Conference (GDC) this year and in the future? International Grame Developers Association (IGDA) site Fellowship of GDC Parties site ALtCtrlGDC site Experimental Gameplay Workshop site Women in Games International (WIGI) site Blacks in Gaming (BIG) site Serious Games (SIGs) site What’s New in Firebase and Google Cloud Platform for Games site Summits to Checkout: AI Game Developers Summit site Game Narrative Summit site Independent Games Summit site Additional Advice: The first two days are summits which are great because topic focused Expo floor takes a good hour to get through WIGI, BIG and SIGs (Google and Microsoft) have the best food GDC is composed of various communities Bring business cards Check out post-mortems Favorite Games: Mass Effect site Final Fantasy wiki Games Mark & Sherol are currently playing: Hearthstone site Dragon Age Origins wiki Where can you find us next? Mark and Sherol are at the Game Developer’s Conference (GDC). You can find them via the Google at GDC 2018 site. Sherol will be at TensorFlow Dev Summit speaking about machine learning research and creativity next week.
March 14, 2018
Product Manager Morgan McLean and Software Engineer JBD join Melanie and Mark this week to discuss the new open source project OpenCensus, a single distribution of libraries for metrics and distributed tracing with minimal overhead that allows you to export data to multiple backends. Morgan McLean Morgan McLean is the Product Manager for Tracing, Debugging, and Profiling at Google, including OpenCensus JBD JBD leads the OpenCensus Go and our integrations with other projects. Cool things of the week TensorFlow 1.6 release TensorFlow Dev Summit site TensorFlow Object Detection on iOS youtube Introducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes blog github Optimizing your Cloud Storage performance: Google Cloud Performance Atlas blog Introducing GCP’s new interactive CLI blog docs Interview OpenCensus site docs Github Organisation github How Google uses Census internally blog The value of OpenCensus blog Tracing Zipkin site Stackdriver site docs jaeger github Metrics Stackdriver docs Prometheus site Google Summer of Code site OpenCensus Question of the week I heard there are abilities to natively extend Kubernetes - what does that mean, and also how do I do that? Custom Resource Definitions reference guide Sample Controller github TGIK Custom Controller video series github youtube youtube youtube An Introduction to Extending Kubernetes with CustomResourceDefinitions blog memcached-operator etcd-operator Where can you find us next? Mark will be at the Game Developer’s Conference | GDC in March. You can find him via the Google at GDC 2108 site.

Podcasts like "Platforms Windows, Linux, Apple all the Tech Info you can Handle on the Various Platforms"   ·   View all

By AVpodcast
By Jon Masters
By Linux Luddites
By Larry Bushey and Bill Smith
By Graham Morrison
Disclaimer: The podcast and artwork embedded on this page are from Tech Podcast Network, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.