Friday 25 March 2016

Structure News: Has Google done enough to impress cloud buyers?

STRUCTURE EVENTS Newsletter
 
Where It's Not Easy Being Greene
March 25th, 2016 / by Tom Krazit
This week, we'll talk about a big mess at Nest, a big round of funding for Mesosphere, and whether big talk from Google can make a dent in a big gap between it and other cloud players.
STRUCTURE NEWS
HOW TECH COMPANIES AND UNIVERSITIES FORMED A ONCE-UNLIKELY FRATERNITY AROUND OPEN SOURCE
Back in the 1990s, open-source software was just getting off the ground from its research-oriented roots, but more than 20 years later, an awful lot has changed. Two excellent Structure Data 2016 speakers -- MIchael Franklin of UC Berkeley’s AMPLab and Raghu Ramakrishnan of Microsoft (pictured, with Andrew Brust of Datameer) -- discussed how much they have in common these days, and how the corporation/university dynamic will evolve.

WHY 40 PETABYTES IS PROBABLY ENOUGH DATA FOR NETFLIX, FOR NOW

We talked a lot at Structure Data 2016 about how “big data” isn’t really the right way to think about data science any more; data efficiency is what’s important now at big companies like Netflix. “We’re not trying to add more petabytes and brag about it, we want to get the most out of it,” said Eva Tse of Netflix.
INDUSTRY NEWS
INSIDE TONY FADELL’S STRUGGLE TO BUILD NEST
We haven’t heard a lot out of Nest lately, and The Information (subscription required; The Verge, um, aggregated it) had a big report Thursday that might explain why. Among other things, Nest has struggled to integrate Dropcam and get new products to market that meet the demands of CEO Tony Fadell, according to the rather remarkable story.

MICROSOFT SILENCES ITS NEW AI BOT TAY, AFTER TWITTER USERS TEACH IT RACISM

This is probably not what Microsoft researchers had in mind when they unleashed Tay, an AI-driven chatting bot, on the general public. Techcrunch reports that Microsoft pulled the bot after a bunch of Twitter users figured out how to make it repeat racial slurs on Twitter, and they’ll go back to the drawing board to find ways to train AI bots on the nuances of conversational racism.

MESOSPHERE RAISES $73.5 MILLION WITH MICROSOFT PARTICIPATING, LAUNCHES VELOCITY TOOL

Container-management software is likely going to be a lucrative market as more and more companies start putting containers in production, and Mesosphere (CEO Florian Liebert spoke at Structure 2015) showed this week that you can still achieve (likely) unicorn status in an uncertain fund-raising market. Venturebeat notes that the company raised $73.5 million, led by Hewlett-Packard Enterprise and helped by Microsoft, which once took a gander at buying the whole company.

AMAZON’S LOFTY PROFITS OPEN CLOUD TO RIVALS

Amazon is not known for profit-seeking, but that mentality hasn’t applied to its cloud unit Amazon Web Services. Bloomberg has a nice analysis of AWS’ profit margins and how that might present some opportunity for rivals Microsoft and Google (more on that in a bit) to compete on price.

APPLE POLICY ON BUGS MAY EXPLAIN WHY HACKERS WOULD HELP THE FBI

Apple has always liked to do things its own way. Its lack of interest in setting up a bug bounty program -- standard fare at many of its tech rivals -- may have prevented it from learning about a possible method to unlock the San Bernadino iPhone before that method was presented to the FBI, according to The New York Times.

THE CEO OF $2 BILLION STARTUP DOMO: “WEVE BEEN LYING TO PEOPLE” SO WE COULD SURPRISE THEM WITH OUR MASTER PLAN

Josh James must have a very understanding board of directors. In an interview with Business Insider as Domo launched a new version of its data analytics app for business management, James revealed that Domo deliberately mislead customers and even investors about its true product roadmap plans to keep those plans a secret.
BIG PICTURE
Ever since Google hired VMware founder Diane Greene (above, speaking at GCP Next 2016) to run its cloud business last year (the same week as Structure 2015), we’ve written a lot about whether or not that re-organization was enough to make Google more competitive in the public cloud market. A series of events this week showed that Google’s charm offensive is still very much on the march, but it is starting to land some bigger names for its cloud service.

During its cloud conference this week, Google announced that Home Depot and Disney have agreed to put some of their workloads on Google Cloud Platform, as reported by Fortune. It also introduced a machine-learning API that developers can use to add Google’s machine-learning technology to their products, and Greene sat down for lengthy interviews with several publications (I enjoyed Wired’s).

As we noted last week, however, the lack of transparency around cloud pricing and revenue makes it difficult to understand how much of this business Google is practically giving away in order to get some big names on its customer list. That information will come out over time, but as Fortune noted, companies in the financial and insurance fields are still conspicuously absent from that list. “You don’t get fired for going with AWS” is the new “you don’t get fired for going with IBM.”

At the heart of the question around Google’s cloud efforts is whether or not an advertising company can be a true enterprise computing player. It’s kind of a silly question, given that a book seller practically invented the public cloud infrastructure market and Google's infrastructure set the tone for world-class computing buildouts. But former Google CEO Eric Schmidt always seemed much more enthusiastic about making Google an enterprise player than current Alphabet CEO (and Google co-founder) Larry Page, and corporate culture is a funny thing.

By the time Structure 2016 rolls around this November, Google will be under more pressure to show broader customer adoption of its cloud services. Microsoft has made no secret of the fact that it wants to be a world-class cloud company and already has the enterprise sales force to match that ambition.

At some point Google will have to stop talking about its cloud ambitions and start talking about its cloud successes if it is to be taken seriously as a public cloud power. “We’re Number 3” worked really well for Snapple, but I doubt that’s what Greene was brought into Google to accomplish.
 
 
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Friday 18 March 2016

Structure News: When Apple met Google

STRUCTURE EVENTS Newsletter
 
Where Our Cloud Prices Are Insane
March 18th, 2016 / by Tom Krazit
This week, we'll talk Dropbox going solo, Google's triumphant AlphaGo victory, and Apple's plans for its infrastructure needs.
STRUCTURE NEWS
DATA SCIENCE IS A RECRUITING TOOL FOR DIVERSE CANDIDATES AT AIRBNB
One session that stood out for me personally at Structure Data was the discussion about how Airbnb's Elena Grewal (pictured, left) worked with the company's recruiters to apply data science principles to its hiring process in order to solve for diversity. They're not quite there yet (the company is now 30 percent women, as compared to 15 percent last year) but it shows the benefits of having all departments -- not just product -- be data driven.

HORTONWORKS CEO ROB BEARDEN THINKS THE DATA EXPLOSION HAS ONLY BEGUN

Rob Bearden probably has a different opinion of Wall Street these days than he did a few years ago, but he didn't appear very worried at Structure Data 2016 about investors eventually realizing how valuable big data can be. With projections that the amount of data will increase by 10x over the next ten years, and the complexity of that data increasing at a similar rate, he's got a point.
INDUSTRY NEWS
MINECRAFT TO RUN ARTIFICIAL INTELLIGENCE EXPERIMENTS
One of the shrewdest things Microsoft did in the last few years was buy Minecraft, one of the most ubiquitous video games among the younger set. The company plans to take advantage of that popularity by running a few tests (opt-in only) to help train AI algorithims on dealing with complex, open-ended worlds, according to BBC News.

THE EPIC STORY OF DROPBOX'S EXODUS FROM THE AMAZON CLOUD EMPIRE

One topic I like to ask fast-growing cloud-native web startups about at Structure is how they think about "the datacenter tipping point;" the point at which -- if you're fortunate enough -- you've grown so big that it starts to make sense to bring more things in-house. Wired takes us through the two-and-a-half year process Dropbox went through in moving its storage system, arguably the very core of its service, from Amazon Web Services to its own hardware.

GET RICH OR HACK TRYIN'

In what might have been the first hip-hop themed blog post title ever written by Google, the company announced it was doubling its bug bounty for those trying to hijack a Chromebook. It also introduced a new bounty on bugs involving its Safe Browsing feature on Chrome, showing how important web companies continue to feel that keeping the outside hacker network friendly and active is a good security measure.

QUIETLY, SYMBOLICALLY, US CONTROL OF THE INTERNET WAS JUST ENDED

We won't be able to judge the effects of this for a long time, but this is a big deal: ICANN members, after a two-year process, have agreed to transfer control over internet addresses and domain names from a non-profit kinda-sorta controlled by the U.S. government to a consortium of leaders from multiple countries. The Guardian has a nice analysis piece from former ICANN member Maria Farrell on how the world got to this point.

WHAT WE LEARNED IN SEOUL WITH ALPHAGO

Google's AlphaGo contest was an amazing thing to follow for anyone interested in the future of artificial intelligence, and Dennis Hassabis, CEO of the company's DeepMind unit, shared a few reflections in a blog post this week. "But as they say about Go in Korean: 'Don’t be arrogant when you win or you’ll lose your luck,'" he wrote. "This is just one small, albeit significant, step along the way to making machines smart."

US GOVERNMENT PUSHED TECH FIRMS TO HAND OVER SOURCE CODE

The tech industry's side-eye looks at the intentions of government law enforcement officials this year might be partly informed by what they've had to put up with already. ZDNet reported Thursday that the U.S. government has pushed companies to share source code with the government (it's not clear if any actually had) through the secret FISA court, which is an amazing request of a modern software company that no sane executive would ever willingly sign off on.
BIG PICTURE
We all like to think of the tech industry as the clash of rival titans, and for a long time Apple and Google have given us that satisfaction. Ever since the birth of Android, the CA-85 rivalry has been one of the hottest in tech, with plenty of overheated rhetoric and genuine dislike on both sides.

But neither company is stupid. Under Diane Greene, Google is courting big customers for its Google Cloud Platform, likely at fire-sale prices. Apple is smart with its money and creating a little competition among big suppliers is smart. So it makes sense that Apple has struck a $400 million to $600 million cloud-computing deal with Google, as first reported by CRN Wednesday.

As Recode later reported, Apple appears to see this deal with Google as just a stopgap while it builds out its own datacenters to run iCloud, iTunes, and all of Apple's other internet services. Project McQueen (as in Steve, look it up, Millennials) is a fascinating undertaking, as Apple tries to build the world-class computing system its rivals have enjoyed for decades while operating under its customary cloak of secrecy.

Still, it's a coup for Google, as it has won the business of one of the world's most demanding buyers of the technology and services needed to run its operation and dented Amazon Web Services, its much larger competitor. I definitely agree with Om Malik that most likely, Google gave away this business, and that in general, the tech world needs more transparency in cloud pricing and financial performance to help startups and bigger companies that don't have Apple's leverage make supplier decisions.

We haven't really had a public cloud rivalry yet: Amazon has run so far ahead of the pack for so long it's been  kind of silly to call Microsoft's Azure and GCP rivals. But Azure is one of the biggest parts of Microsoft's future strategy, and Google is clearly willing to fight for business. Google's competitive focus might be shifting north.

One of my biggest questions about this revolutionary cloud era is whether the new guard in enterprise software will eventually mimic the strategies and tactics of the old guard of enterprise computing as their businesses grow. Over the next five years, we're going to figure that out.

Image Credit: Flickr user Jan Tik
 
 
 
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Friday 11 March 2016

Structure News: Recapping Structure Data 2016

STRUCTURE EVENTS Newsletter
 
Where The Data Was Actionable
March 11th, 2016 / by Tom Krazit
This week, we'll recap Structure Data 2016, a great week of interviews, talks, and conversations about the future of data-driven tools and strategies inside companies and organizations.
STRUCTURE NEWS
BUILDING DATA INFRASTRUCTURE AT STARTUP SPEED? STAND ON THE SHOULDERS OF THOSE BEFORE YOU
June Andrews of Pinterest and Josh Wills of Slack (pictured) have two of the most interesting data science jobs in technology, building data science practices at fast-growing companies known for their focus on design. Thankfully, the prevalence of open-source software makes it easy to get off the ground, but as they explained, things can get quite tricky quite quickly.

WHY DATA ANALYSIS TOOLS NEED TO GET SMARTER AND MORE ACCESSIBLE

After focusing on gathering "big data" for so many years, data science needs to evolve to reach more people with smaller datasets, according to Chris Neumann, formerly of DataHero, and Dan Wagner of Civis Analytics. That means helping people and businesses develop the right questions to ask and making user-friendly tools.

HOW THE ORLANDO MAGIC ARE USING DATA TO KEEP FANS HAPPY

Using data to shorten beer lines might be the smartest use of data science yet. Orlando Magic CEO Alex Martins explained how working with John Paul of Venuenext has allowed the Magic to offer season-ticket holders perks while refining the club's ticket-pricing algorithms.

THE ASCENT OF THE SENTIENT ROBOTS MAY HAVE BEEN OVERSOLD

While the robots might be coming for our jobs, they're probably not going to destroy us. Yet. Artificial intelligence expert Andrew Ng of Baidu predicted that we'll see the commercialization of self-driving vehicles in three years and mainstream use in five, but "worrying about killer robots today is like worrying about overpopulation on Mars," he said.
INDUSTRY NEWS
GOOGLE JOINS THE OPEN COMPUTE PROJECT
Back in the day, Google was notorious for treating the designs for its world-class datacenters and networks like state secrets. A lot has changed since then, and Google's embrace of the Open Compute Project this week (a movement launched by rival Facebook) with its power-efficient rack designs is a notable and laudable shift, as reported by Techcrunch.

HOW WE BUILD CODE AT NETFLIX

Netflix also dropped some knowledge this week, explaining how it writes code on local machines and deploys that code to its servers running in Amazon Web Services' cloud. The company has managed to reduce the time it takes to deploy some of its code to 16 minutes, from local machines to a multiregional deployment.
 
BIG PICTURE
Over the years we've put together Structure Data, I'm not sure we've assembled a better lineup of speakers.

We had the CEOs of all the major big data companies, world-renowned experts in artificial intelligence from the most powerful internet companies on the planet, and representatives from the next generation of data-driven startups like Uber and Airbnb. But when I look back at the week, I'm also struck by how many conversations that I hope we continued, or even started, about the impact of big data on society.

We explored how the health care system is changing in response to the data era, albeit at a frustrating pace. Kalev Leetaru of GDELT delivered a legendary Structure Data talk on the power of data to understand our world (and passionately explained his work and love of data science all week on the sidelines). And Sugreev Chawla of Thorn showed how data is helping law enforcement track down some of the most horrifying elements of our world, like child traffickers and pornographers.

Harnessing data has made our websites better, our computers more efficient, and our advertising more lucrative. And while all of those outcomes are great, it's important that we recognize and assist those who are using the latest in data science tools in important ways without regard for the profit motive.

Thanks to our speakers, sponsors, attendees, and everyone else who made Structure Data 2016 such a great event. We'll see you all again soon.
 
 
 
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Sunday 6 March 2016

Dog killed a by a man in a deser

 

Dog killed a by a man in a desert

 

man killed a dog in a desert and recording this video

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Source: Virtual MIDI Controller. MIDI Touch Pad

Saturday 5 March 2016

Download Speed Dreams A Fork of The Famous open Racing Car Simulator

 

Download Speed Dreams A Fork of The Famous open Racing Car Simulator
 


Speed Dreams is a fork of the famous open racing car simulator Torcs, aiming to implement exciting new features, cars, tracks and AI opponents to make a more enjoyable game for the player, as well as constantly improving visual and physics realism.

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Speed Dreams is a 3d cross-platform, open source motorsport simulation and racing game. It is released under the GNU General Public License (GPL). For the moment, the supported platforms are Linux (x86, x86_64) and 32 bit Windows. The Mac OS X port is 95% finished, more volunteers are welcome...

Speed Dreams is a fork of the open racing car simulator Torcs, aiming to implement exciting new features, cars, tracks and AI opponents to make a more enjoyable game for the player, as well as constantly improving visual and physics realism.

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Name speed-dreams-base-2.1.0-beta-win32-setup.zip
Type ZIP archive
Size 143.12 MB

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Source Download Speed Dreams A Fork of The Famous open Racing Car Simulator

Friday 4 March 2016

Structure News: The security of big data

STRUCTURE EVENTS Newsletter
 
Where We're Only Five Days Away
March 4th, 2016 / by Tom Krazit
This week, we'll talk about the best data conference on the planet and the growing symbiosis between security researchers and data scientists.
STRUCTURE NEWS
MEET MICHAEL FRANKLIN AND UC BERKLEY'S AMPLAB, WHERE BASIC TECH RESEARCH STILL REIGNS
I was finally able to catch up last Friday with Michael Franklin (pictured) of UC Berkeley's AMPLab, which has produced some essential research and even products (Apache Spark) that have changed the world of big data. Franklin will speak next week at Structure Data about how universities and companies can work together to make tech breakthroughs in research.

JUST ANNOUNCED: ELENA GREWAL OF AIRBNB TO TALK DATA-DRIVEN DIVERSITY AT STRUCTURE DATA

We got this one just in under the wire. We are thrilled to welcome Elena Grewal of Airbnb to Structure Data, where she'll be interviewed by Techcrunch's Megan Rose Dickey about an internal study and data science experiment Airbnb conducted to successfully improve its hiring of women.

HOW MICROSOFT AND PETER LEE ARE DISCOVERING THE FUTURE OF DEEP LEARNING

Microsoft's Peter Lee is looking into salesforce automation in truest sense of that jargony term. Lee, who will be interviewed by Bloomberg's Jack Clark Thursday at Structure Data, talked to me about a skunkworks-like project within Microsoft Research that applies deep-learning techniques to sales databases to try and predict the best ways to corral stray customers back into the fold.

WHERE ARE ALL THE CYBER DATA SCIENTISTS?

The reluctance to share data within the security community (more on that in a bit) is really start to frustrate some data scientists. In a guest post from In-Q-Tel, Steve Bowsher (who I'll be interviewing at Structure Data), Sri Chandrasekar, and Charlie Greenbacker lay out a few remedies for either getting more security data out there or improving the reliability of analysis on the amount of data available.
 
INDUSTRY NEWS
THE PROMISE OF ARTIFICIAL INTELLIGENCE UNFOLDS IN SMALL STEPS
Steve Lohr of the New York Times (who will be moderating two sessions at Structure Data) wrote a nice piece over the weekend about the difficulties that companies have encountered in trying to commercialize artificial intelligence. There's no doubt AI is going to change the world of computing in huge ways, but as veterans of the AI community know, this change is not going to happen overnight.

THE MAN WHO'S BUILDING A COMPUTER MADE OF BRAINS

It was a good week for deep pieces on AI from our friends in the tech media. Motherboard has a look at a very interesting startup called Koniku, which is trying to raise money and build a company that will build chips that use neurons grown in labs.

U.S. ANNOUNCES "HACK THE PENTAGON" BOUNTY PROGRAM

There's a joke in here somewhere about our foreign aid budget, but the U.S. Department of Defense is joining the bug bounty party. It announced this week that it will let "vetted hackers" probe Pentagon networks and other infrastructure for bugs, with the possibility of cash prizes for some, according to NPR.

DOCKER ACQUIRES CONDUCTANT AS IT LOOKS TO HELP BUSINESSES RUN LARGE-SCALE SYSTEMS

Docker showed signs this week that it's thinking bigger with the acquisition of Conductant. The people behind Conductant were also instrumental in the development of the Apache Aurora project, and Techcrunch reported that Docker plans to build "a commercial distribution for Aurora" that could potentially compete with Mesosphere.
 
BIG PICTURE
I spent a lot of time this week at the RSA Conference, along with 40,000 others, trying to assess the current state of the security industry and get a feel for where it's headed next. It was a pretty massive event, spread across all three halls of the Moscone Center in San Francisco (thankfully the folks behind the conference resisted the urge to go full Ellison/Benioff and shut down all of Howard Street).

The idea is to keep gathering ideas and meeting people in preparation for our first Structure Security conference this September. But over the course of several conversations this week, I kept hearing more and more security professionals talking about big data and machine learning as core parts of the next generation of security tools.

One of the most interesting sessions I watched was a panel of cryptographers (including Martin Hellman and Whitford Diffie, the inventors of public-key cryptography who won the coveted Turing award this week), and you know that field is going to be transformed by advances in artificial intelligence: Diffie actually worked for the Stanford Artificial Intelligence Laboratory in the 1970s when co-developing that award-winning technology. I spoke at length on the show floor with Tomer Weingarten, CEO of SentinelOne, about the machine-learning techniques his startup is applying to move beyond traditional antivirus software capabilities.

Next week at Structure Data you'll hear from some of the finest people in data science, explaining how they are pushing the envelope of existing knowledge in AI, deep learning, and data analysis. Based on what I saw this week at RSA, the security folks are definitely on board with this future. And if something as vital and lucrative as cyber security is cozying up to machine learning, you know this field is poised to explode.
 
 
 
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Wednesday 2 March 2016

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Download Vegatrek Full Version .. 500 systems to explore

 

Download Vegatrek Full Version .. 500 systems to explore
 


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