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Practical AI Practical AI #34

The White House Executive Order on AI

The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI.

Changelog Interviews Changelog Interviews #337

Homebrew! Part Deux

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2019-03-06 #macos +2 🎧 29,034

We’re talking with Mike McQuaid about Homebew 2.0.0, supporting Linux and Windows 10, the backstory and details surrounding the security issue they had in 2018, their new governance model, Mike’s new role, the core team meeting in-person at FOSDEM this year, and what’s coming next for Homebrew.

Practical AI Practical AI #33

Staving off disaster through AI safety research

While covering Applied Machine Learning Days in Switzerland, Chris met El Mahdi El Mhamdi by chance, and was fascinated with his work doing AI safety research at EPFL. El Mahdi agreed to come on the show to share his research into the vulnerabilities in machine learning that bad actors can take advantage of. We cover everything from poisoned data sets and hacked machines to AI-generated propaganda and fake news, so grab your James Bond 007 kit from Q Branch, and join us for this important conversation on the dark side of artificial intelligence.

Changelog Interviews Changelog Interviews #336

Containerizing compute driven workloads with Singularity

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2019-02-28 #containers +2 🎧 25,966

We’re talking with Greg Kurtzer, the founder of CentOS, Warewulf, and most recently Singularity — an open source container platform designed to be simple, fast, and secure. Singularity is optimized for enterprise and high-performance computing workloads. What’s interesting is how Singularity allows untrusted users to run untrusted containers in a trusted way. We cover the backstory, Singularity Pro and how they’re not holding the open source community version hostage, as well as how Singularity is being used to containerize and support workflows in artificial intelligence, machine learning, deep learning, and more.

Practical AI Practical AI #32

OpenAI's new "dangerous" GPT-2 language model

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2019-02-25 #ai +1 🎧 7,814

This week we discuss GPT-2, a new transformer-based language model from OpenAI that has everyone talking. It’s capable of generating incredibly realistic text, and the AI community has lots of concerns about potential malicious applications. We help you understand GPT-2 and we discuss ethical concerns, responsible release of AI research, and resources that we have found useful in learning about language models.

Practical AI Practical AI #31

AI for social good at Intel

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2019-02-20 #ai +1 🎧 6,542

While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this program has had - from stopping animal poachers, to helping the National Center for Missing & Exploited Children. Through this AI for Social Good program, Intel clearly demonstrates how a for-profit business can effectively use AI to make the world a better place for us all.

Practical AI Practical AI #30

GirlsCoding.org empowers young women to embrace computer science

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2019-02-13 #ai +1 🎧 5,965

Chris sat down with Marta Martinez-Cámara and Miranda Kreković to learn how GirlsCoding.org is inspiring 9–16-year-old girls to learn about computer science. The site is successfully empowering young women to recognize computer science as a valid career choice through hands-on workshops, role models, and by smashing prevalent gender stereotypes. This is an episode that you’ll want to listen to with your daughter!

Changelog Interviews Changelog Interviews #333

Tactical design advice for developers

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2019-02-06 #design 🎧 29,747

Adam talks with Erik Kennedy about tactical design advice for developers. Erik is a self-taught UI designer and brings a wealth of practical advice for those seeking to advance their design skills and learn more about user interface design. We cover his seven rules for creating gorgeous UI, the fundamentals of user interface design — color, typography, layout, and process. We also talk about his course Learn UI Design and how it’s the ultimate on-ramp for upcoming UI designers.

Practical AI Practical AI #29

How Microsoft is using AI to help the Earth

Chris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good!

Away from Keyboard Away from Keyboard #12

Laura Gaetano doesn't want to be a manager

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2019-01-31 #culture 🎧 7,297

Laura Gaetano was born in Italy, and by my count has lived in at least four different countries. Her multicultural upbringing has had a huge impact on her life. In fact, she currently works at the Travis Foundation with a focus on diversity and inclusion.

We talk about her upbringing, her troubles with art school, the work she’s doing now, and changes that may be on the horizon.

Changelog Interviews Changelog Interviews #332

A UI framework without the framework

Jerod and Adam talked with Rich Harris –a JavaScript Journalist on The New York Times Investigations team– about his magical disappearing UI framework called Svelte. We compare and contrast Svelte to React, how the framework is embedded in a component, build time vs. run time, scoping CSS to components, and CSS in JavaScript. Rich also shares where Svelte v3 is heading and the details on Sapper, a framework for building extremely high-performance progressive web apps, powered by Svelte.

Practical AI Practical AI #28

New year’s resolution: dive into deep learning!

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.

If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.

Founders Talk Founders Talk #61

Isaac Schlueter on building npm and hiring a CEO

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2019-01-25 #npm +1 🎧 6,880

With JavaScript in every corner of software development and npm in every corner right along with it, the rise of npm can be drawn as a hockey stick up and to the right with Isaac Schlueter at the top grinning ear to ear. After reading their recent announcement to hire a CEO, I knew it was time to talk one-on-one with Isaac about building npm and the journey of hiring his successor.

JS Party JS Party #60

You might want to read up on PAW Patrol

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2019-01-25 #javascript 🎧 7,701

Your 3 intrepid hosts try to explain JS concepts (bind/apply, thunks, and ReasonML) to each other as if we’re five year olds. Hilarity and/or confusion ensues. During Pro Tip Time, Suz tells a story of woe, KBall motivates himself, and Jerod tries to keep you in the flow. Finally, we point our project spotlight at Fly CDN and talk edge applications and IoT.

Changelog Interviews Changelog Interviews #331

GitHub Actions is the next big thing

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2019-01-23 #github 🎧 33,982

Adam and Jerod talk to Kyle Daigle, the Director of Ecosystem Engineering at GitHub. They talk about GitHub Actions, the new automation platform announced at GitHub Universe this past October 2018. GitHub Actions is the next big thing coming out of GitHub with the promise of powerful workflows to supercharge your repos and GitHub experience. Build your container apps, publish packages to registries, or automate welcoming new users to your open source projects — with access to interact with the full GitHub API and any other public APIs, Actions seem to have limitless possibilities.

Practical AI Practical AI #27

IBM's AI for detecting neurological state

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2019-01-21 #ai 🎧 6,517

Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.

Away from Keyboard Away from Keyboard #11

Adam Clark wants to be independently wealthy

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2019-01-17 #culture +1 🎧 3,484

Adam Clark and I met back in 2013. We started a podcasting company together (which we both left), he shut down his consulting business to move to California and work for Apple, and now he’s back in Tennessee. Last year he launched a new business, Podcast Royale, a company he says will afford him more freedom to do whatever he wants to do.

He talks to me about growing up in a cult, losing his father, marriage, and how being a parent gives him a purpose in life.

Changelog Interviews Changelog Interviews #330

source{d} turns code into actionable insights

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2019-01-16 #machinelearning +2 🎧 25,718

Adam caught up with Francesc Campoy at KubeCon + CloudNativeCon 2018 in Seattle, WA to talk about the work he’s doing at source{d} to apply Machine Learning to source code, and turn that codebase into actionable insights. It’s a movement they’re driving called Machine Learning on Code. They talked through their open source products, how they work, what types of insights can be gained, and they also talked through the code analysis Francesc did on the Kubernetes code base. This is as close as you get to the bleeding edge and we’re very interested to see where this goes.

Practical AI Practical AI #26

2018 in review and bold predictions for 2019

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2019-01-14 #ai +2 🎧 6,536

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.

This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.

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