ml.deeplearning

If competition is an extreme sport, then Amazon is winning. Journalist Brad Stone examines the relentless entrepreneur Jeff Bezos and his company.

Jeff Bezos and Extreme Competition

On this episode of "Speaking of Bitcoin", join hosts Adam B. Levine, Andreas M. Antonopoulos, Stephanie Murphy and Jonathan Mohan for a discussion about loans in the world of crypto.
HODL. It's crypto-land philosophy for not selling your preferred token even when things look their most bleak. But where philosophy intersects with real-world concerns like shelter, food and the niceties of life, tactics have emerged offering both opportunities and risks. From smart contracts to bitcoin collateralized mortgages, the hosts discuss their experiences with loans in the world of crypto.
Credits
Today’s show featured Andreas M. Antonopoulos, Jonathan Mohan, Stephanie Murphy and Adam B. Levine, with editing by Adam B. Levine and music by Gurtybeats.com. Our episode art is a picture provided by The New York Public Library, modified by "Speaking of Bitcoin."
Any questions or comments? Send us an email at adam@speakingofbitcoin.show

SOB #496 The Ups and Downs of Crypto Loans

Rana Eid est sound designer et réalisatrice. Depuis près 40 ans, elle enregistre les ambiances de Beyrouth, sa ville natale. Elle enregistre donc les sons de la guerre civile (1975-1990), la reconstruction, la guerre de 2006, la révolution civile de 2019, l’explosion du port le 4 août 2020 et enfin l’effondrement actuel du Liban. Aujourd'hui, elle commente ses propres archives sonores qui racontent son pays meurtri et une ville qui retient son souffle. Marine Vlahovic (Carnets de correspondante) a rencontré Rana Eid une première fois en 2014 avant de la retrouver quelques années plus tard. Un manifeste sensible sur l’importance du son dans nos mémoires. 

Ce documentaire est lauréat de l'appel à projets 2021 du ministère de la Culture.

Le souffle de Beyrouth

<ul> 
<li>Apple is just three weeks away from showing off the iPhone 14.</li> 
<li>Apple workers launch petition over company's reported return-to-office plan.</li> 
<li>Apple's new iPad multitasking system doesn't cut it</li> 
<li>Apple releases iOS, iPadOS and macOS security fixes for two zero-days under active attack.</li> 
<li>Tim Cook, Jony Ive, and Laurene Powell Jobs to speak at Code 2022 conference next month.</li> 
<li>iOS VPNs have leaked traffic for years, researcher claims.</li> 
<li>M2 MacBook Air runs Windows 11 faster than pricier Dell laptop.</li> 
<li>Former Apple engineer accused of stealing automotive trade secrets pleads guilty.</li> 
<li>John Foster: In memoriam.</li> 
<li>10 million watched 'House of Dragon,' HBO says.</li> 
<li>Apple fails in bid for Big Ten Conference streaming package.</li> 
<li>Apple brings Self-Service Repair to the Mac.</li> 
<li>Jason found a funny bug in macOS beta.</li></ul> 
Picks of the Week<ul> 
<li>Alex's Pick: Stellar X2</li> 
<li>Andy's Pick: Anker Nano II 65W GaN Charger</li> 
<li>Jason's Pick: One Thing &amp; Shortery</li></ul> 
Hosts: <a href="https://twit.tv/people/leo-laporte">Leo Laporte</a>, <a href="https://twit.tv/people/alex-lindsay">Alex Lindsay</a>, <a href="https://twit.tv/people/andy-ihnatko">Andy Ihnatko</a>, and <a href="https://twit.tv/people/jason-snell">Jason Snell</a> 
Download or subscribe to this show at <a href="https://twit.tv/shows/macbreak-weekly">https://twit.tv/shows/macbreak-weekly</a>. 
Get episodes ad-free with Club TWiT at <a href="https://twit.tv/clubtwit" rel="payment">https://twit.tv/clubtwit</a>
Sponsors:<ul>
<li><a href="http://zocdoc.com/macbreak" target="_blank" rel="sponsored">zocdoc.com/macbreak</a></li>
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</ul>

MacBreak Weekly 832: A Fine Patina

Hungarian composer Rezső Seress dreamed of changing the world with his music. He did.

Producer: Davey Kim

Gloomy Sunday

In 1977, a mild-mannered aeronautical engineer sideswiped a parked car in Compton, CA. He stopped his car to see the damage, and all of a sudden a man opened his car door, and jumped in the car. He said, "I'm about to save your life." What happened next would torture him for the rest of his life.

Ep 11: I'm About to Save Your Life

Hanging in the garage of Fire Station #6 in Livermore, California, there’s a small, pear-shaped light bulb. It is glowing right now.
This lightbulb has been glowing, with just a couple of momentary interruptions, for 113 years. You can see it glow in real time.
The bulb is a genuine heirloom from the dawn of electric illumination, built by one of its pioneers: Adolphe Chaillet.

99% Invisible-144- There Is A Light That Never Goes Out

O'Reilly's Ben Lorica chats with Anima Anandkumar about tensor decomposition techniques for machine learning.

The Tensor Renaissance In Data Science

With the release of Spark version 2.0, streaming starts becoming much more accessible to users. By adopting a continuous processing model (on an infinite table), the developers of Spark have enabled users of its SQL or DataFrame APIs to extend their analytic capabilities to unbounded streams.

Within the Spark community, Databricks Engineer, Michael Armbrust is well-known for having led the long-term project to move Spark’s interactive analytics engine from Shark to Spark SQL. (Full disclosure: I’m an advisor to Databricks.) Most recently he has turned his efforts to helping introduce a much simpler stream processing model to Spark Streaming (“structured streaming”).

Structured Streaming Comes to Apache Spark 2.0

As data scientists add deep learning to their arsenals, they need tools that integrate with existing platforms and frameworks. This is particularly important for those who work in large enterprises. In this episode of the Data Show, I spoke with Adam Gibson, co-founder and CTO of Skymind, and co-creator of Deeplearning4J (DL4J). Gibson has spent the last few years developing the DL4J library and community, while simultaneously building deep learning solutions and products for large enterprises.

The Key to Building Deep Learning Solutions for Large Enterprises

In this episode of the Data Show, I spoke with Jason Dai, CTO of big data technologies at Intel, and co-chair of Strata + Hadoop World Beijing. Dai and his team are prolific and longstanding contributors to the Apache Spark project. Their early contributions to Spark tended to be on the systems side and included Netty-based shuffle, a fair-scheduler, and the “yarn-client” mode. Recently, they have been contributing tools for advanced analytics. In partnership with major cloud providers in China, they’ve written implementations of algorithmic building blocks and machine learning models that let Apache Spark users scale to extremely high-dimensional models and large data sets. They achieve scalability by taking advantage of things like data sparsity and Intel’s MKL software. Along the way, they’ve gained valuable experience and insight into how companies deploy machine learning models in real-world applications.

Deep Learning for Apache Spark

In this episode of the Data Show, I spoke with Anima Anandkumar, a leading machine learning researcher, and currently a principal research scientist at Amazon. I took the opportunity to get an update on the latest developments on the use of tensors in machine learning. Most of our conversation centered around MXNet—an open source, efficient, scalable deep learning framework. I’ve been a fan of MXNet dating back to when it was a research project out of CMU and UW, and I wanted to hear Anandkumar’s perspective on its recent progress as a framework for enterprises and practicing data scientists.

Deep Learning That's Easy to Implement and Easy to Scale

In this episode of the Data Show, I spoke with Soumith Chintala, AI research engineer at Facebook. Among his many research projects, Chintala was part of the team behind DCGAN (Deep Convolutional Generative Adversarial Networks), a widely cited paper that introduced a set of neural network architectures for unsupervised learning. Our conversation centered around PyTorch, the successor to the popular Torch scientific computing framework. PyTorch is a relatively new deep learning framework that is fast becoming popular among researchers. Like Chainer, PyTorch supports dynamic computation graphs, a feature that makes it attractive to researchers and engineers who work with text and time-series.

Why AI and Machine Learning Researchers are Beginning to Embrace PyTorch

En France, on n'a peut-être pas de pétrole, mais on a du sexe. Enfin, du moins, on a la langue la plus sexy - selon les sondages du monde entier, année après année. Mais au fait, pourquoi nous ? Parce qu'on est beaux et qu'on sent le fromage ? Découvrons ensemble les vraies raisons, rythmiques, phonétiques et cosmétiques, pour lesquelles pour une fois... la France gagne UNE compétition.
Sexe and sounds, le podcast de Maïa Mazaurette tous les mardis. 
Réalisation : Samuel Hirsch - Texte & voix : Maïa Mazaurette

Sex and sounds (n°3) : Le français est-il si sexy ?

Vig (Jesse Taub) - The God Machine
Sources: Deus Ex - "Liberty Island," "Lebedev's Airfield," "NYC Streets," "UNATCO," "DuClare Chateau," "Return to NYC," "Enemy Within," "Versalife"
Original Composers: Alexander Brandon, Michiel van den Bos

Artist's Note
Vig: Deus Ex was a landmark first-person-shooter. Its ground-breaking incorporation of RPG elements, sprawling open-ended environments and epic storytelling made Deus Ex a truly enduring and immersive release. It came out in 2000, but it is still one of my two favorite games of all time.

I don't play video games very much these days, but I keep coming back to this particular soundtrack. Composed by the incredibly talented Alexander Brandon, the music in Deus Ex struck me from the very first time I played as one of the most immersive and memorable video game scores in recent memory, and now years later, I still listen to it regularly. For years, I've wanted to make my own arrangement of some of my favorite themes from the game.

This song was two years in the making, and I'm incredibly excited to finally be finished. I can't remember all the different incarnations this remix has had, but I'm finally satisfied with the finished product. I hope you enjoy it.

Sonic Augmentation 8 - The God Machine (Medley)

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Why AI and Machine Learning Researchers are Beginning to Embrace PyTorch

O'Reilly Radar

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