Name: Trends in Data, Machine Learning, and AI by O'Reilly Radar
Duration: 28 min 39 s
Description: For the end-of-year holiday episode of the Data Show, I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Lorica also showcased some highlights from our upcoming Strata Data and Artificial Intelligence conferences.

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>
Sponsors:<ul>
<li><a href="http://meraki.cisco.com/twit" target="_blank" rel="sponsored">meraki.cisco.com/twit</a></li>
<li><a href="http://UserWay.org/twit" target="_blank" rel="sponsored">UserWay.org/twit</a></li>
<li><a href="http://CDW.com/Cisco" target="_blank" rel="sponsored">CDW.com/Cisco</a></li>
</ul>

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

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)

Why don’t we understand how the female orgasm works? After years of scientific research, the male body is understood but when it comes to how women work, we are a long way behind. Why is there this gap in knowledge? 



It appears research has been hindered by the assumption that the female body works in the same way as the male body and that for women, arousal is all in the mind. There’s also a general attitude that studying sexual pleasure isn’t important and that female orgasms aren’t important to study as they serve no purpose for reproduction.



Researchers are slowly correcting these assumptions and making surprising discoveries.



We’ll take you behind the scenes to two orgasm labs to bring you the latest research on how orgasms work for women. We’ll also hear from Callista, who struggled with excruciating pain during sex for many years but was told the problem was all in her mind. Her journey to diagnosis shows how little is known, even amongst gynaecologists and doctors, about female sexual pleasure.  





Presenter: Aasmah Mir

Producer: Phoebe Keane



(Image: Woman's hand grasping a bed sheet. Credit: Shutterstock) Published on December 2, 2016.

The Female Orgasm

Parce que certains sextoys ont des voix intégrées, ils nous racontent, en creux, ce que nous aimerions entendre. Attention, ce podcast contient des voix d'hommes gutturales chaudes comme la braise. Et pas mal de vibrations.
Sexe & sounds, le podcast de Maïa Mazaurette : des bruits du porno aux sextoys qui parlent, des langues de l'amour aux mystères de l'ASMR et des musiques qui donnent envie... 
Réalisation : Samuel Hirsch - Texte & voix : - Maïa Mazaurette

Sex and sounds (n°2) : La voix des sextoys

For the end-of-year holiday episode of the Data Show, I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Lorica also showcased some highlights from our upcoming Strata Data and Artificial Intelligence conferences.

Trends in Data, Machine Learning, and AI

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.

Trends in Data, Machine Learning, and AI

O'Reilly Radar

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