Raplh Dogg,Profile,Just Real,& D-Mac went in on this track tell me what u think

Everythang

Jane Foster was introduced as the love interest of the superhero Thor, but now in the MCU Jane has picked up mjolnir and become a superhero herself. Learn the Marvel Comics history of Jane Foster before Thor Love and Thunder hits!     &nbsp;  Join #MarvelClub for the full THOR experience & more: &nbsp; &nbsp;      GHL RECOMMENDED READING from this episode:&nbsp; Follow the show on TWITTER -&nbsp; Visit our Facebook fan page:&nbsp; You can find Ashley at&nbsp;&nbsp;and Jason at&nbsp;. Thanks for showing up to class today. Class is dismissed!

419: Jane Foster (Thor)

- Tell us something we don't know!
- Stranger Things ROCKS "Master of Puppets"
- An Iowan on Jeopardy? (Waukee!)
- What's next for the Big 12?

Stranger Things ROCKS "Master of Puppets"!

Log4j, license plate reader dangers, AI graphing with Katana Graph, and more.<ul> 
<li>Log4j is far from over</li> 
<li>Is cryptocurrency's crash causing geadaches for ransomware gangs?</li> 
<li>Starlink unveils $5,000-a-month internet for oil rigs and premium yachts </li> 
<li>FCC chair proposes new US broadband standard of 100Mbps down, 20Mbps up</li> 
<li>The danger of license plate readers in post-Roe America</li> 
<li>Katana Graph CEO and co-founder Keshav Pingali talks </li> 
<li>about their AI-powered graph intelligence platform 
 </li></ul> 
Hosts: <a href="https://twit.tv/people/louis-maresca">Louis Maresca</a>, <a href="https://twit.tv/people/brian-chee">Brian Chee</a>, and <a href="https://twit.tv/people/curt-franklin">Curt Franklin</a> 
Guest: <a href="https://katanagraph.com/" target="_blank">Keshav Pingali</a> 
Download or subscribe to this show at <a href="https://twit.tv/shows/this-week-in-enterprise-tech">https://twit.tv/shows/this-week-in-enterprise-tech</a>. 
Get episodes ad-free with Club TWiT at <a href="https://twit.tv/clubtwit" rel="payment">https://twit.tv/clubtwit</a>
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</ul>

This Week in Enterprise Tech 502: A Graph Is Worth a Thousand Words

Howdy! This week we talked with Hideaki Nishino, SVP of Platform Experience about the origins of PS VR2 and how cutting-edge games such as Horizon Call of the Mountain are tapping into its next-generation features.

Official PlayStation Podcast Episode 439: Virtual Impressions

Il Folle volo

Carl Frampton v Kiko Martinez II dominates the podcast with the Northern Irishman, Frampton, bidding to win his 19th bout in a row.
Mike Costello and Steve Bunce discuss the fight as well as who Carl Froch's next opponent should be and the future of Anthony Joshua. Sep 04, 2014

5lspecials: 5live Boxing: Frampton v Martinez 04 Sep 14

this is a slow song isn't it..

like it.

Midnight

Firewatch stand auf unserer Liste der meisterwarteten Spiele 2016. Jetzt ist die Zeit der Abrechnung gekommen: Ist das Indie-Abentuer wirklich unsere Vorfreude wert gewesen, oder verdammen wir es wie eifersüchtige Ex-Freundinen?

Runde #46: Firewatch (Some people just want to watch the world burn)

They called the fight “Bad Blood.” It was a marketing angle that wrote itself. In 2002, Oscar De La Hoya and Fernando Vargas met in a clash of Mexican-American U.S. Olympians from southern California, bringing the two biggest draws at 154 pounds together for a monster pay-per-view event that was powered by a bitter grudge.

In a special edition of the HBO Boxing Podcast, Eric Raskin speaks to De La Hoya, Vargas, and numerous insiders who were at the Mandalay Bay in Las Vegas that night and lets them tell the story of a modern classic, a showdown in which scores were settled and blood was spilled.

Blood Sport: The Story Of Oscar De La Hoya vs. Fernando Vargas

In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems. On the applications side, he has contributed to systems used for internet and social media analysis, social network analysis, as well as for a host of applications in the physical and life sciences. Most recently, he has been working on deep neural networks, specifically developing theoretical methods and practical diagnostic tools that should be helpful to practitioners who use deep learning.

Understanding Deep Neural Networks

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.

Understanding Deep Neural Networks

O'Reilly Radar

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