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Shaker Cherukuri
Works at WestWindPower
Attended Indiana University
Lives in Nashville, TN, United States
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Shaker Cherukuri

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It has Venn Diagrams and four quadrant charts...You know lot of thought went into to this. Combining social with apps.
 
The Evolution of Networks
From Social to Markets

A deeper, more purposeful, market specific types of networks. 
"Social Networks Were The Last 10 Years. Market Networks Will Be The Next 10."

I really like the six characteristics the author (An early stage VC) indentifies in the article for successful market networks. 
--> Market Networks target more complex services
However, the highest value services — like event planning and home remodeling — are neither simple nor objectively judged. They are more involved and longer term. Market networks are designed for these types of services.

--> People Matter
With complex services, each client is unique, and the professional they get matters. Would you hand over your wedding to just anyone? Or your home remodel? The people on both sides of those equations are not interchangeable like they are with Lyft or Uber. Each person brings unique opinions, expertise and relationships to the transaction. A market network is designed to acknowledge that as a core tenet — and provide a solution.

--> Collaboration happens around a project. 
For most complex services, multiple professionals collaborate among themselves — and with a client — over a period of time. The SaaS at the center of market networks focuses the action on a project that can take days or years to complete.

--> Market networks help build long-term relationships.
Market networks bring a career’s worth of professional connections online and make them more useful. For years, social networks like LinkedIn and Facebook have helped build long-term relationships. However, until market networks, they hadn’t been used for commerce and transactions.

--> Referrals flow freely.
In these industries, referrals are gold, for both the client and the service professional. The market network software is designed to make referrals simple and more frequent.

--> Market networks increase transaction velocity and satisfaction. By putting the network of professionals and clients into software, the market network increases transaction velocity for everyone. It increases the close rate on proposals and expedites payment. The software also increases customer satisfaction scores, reduces miscommunication and makes the work pleasing and beautiful. Never underestimate pleasing and beautiful.
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Neil Carvin's profile photoShaker Cherukuri's profile photo
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+Neil Carvin I actually like +Gregory Esau analysis better than the article. Spot on.
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Good review of Google fi service. Are you considering it?

I Just turned in my fi request. I am using AT&T for voice+texting (fire phone) and Verizon for data (iPad Air 2) right now. $30 + $50 (6gb).
 
Life with Google Project Fi on Nexus 6: Break-In Period

After a long night of updates to the Nexus 6 Wednesday to get it up to Android 5.1.1 and all of my apps loaded and ready, Thursday was Project Fi configruation day, while Friday and Saturday were about trying to use it all in a normal way. Mostly it's been very good news. The Nexus 6 rocks an amazing screen, the antenna is decent and it's wonderful having access to the most up-to-date LTE networks locally. However, near my house there appear to be the usual deadspots that even Project Fi cannot help: that proposed antenna down the road really needs to happen from that perspective. But up the road a ways, where there was once so-so services, LTE is booming through, perhaps thanks to Sprint's additional coverage on top of T-Mobile's. 

As a former Google Voice user used to using Hangouts, there has been good news and bad news in the break-in period. The good news is that my style of doing phones really hasn't changed much at all, and mostly only in good ways. Incoming calls ring on my Nexus 6 and my Chromebox or Chromebook at the same time, just as with Google Voice, and outgoing calls in the Hangouts app on Chrome are now labeled as being sent via the Project Fi network. Calls coming in to my Nexus 6 will fire up on either WiFi or mobile, depending on what's available, and same for outgoing calls. I haven't tested the continuous wifi-to-mobile capabilities of Project Fi yet, but everything else in this department seems OK.

On the not-so-OK side, opting for Hangouts as my default message and voicemail manager on my Nexus 6 caused a few hiccups. Somehow the right flags in the Android settings and apps settings left text messages and voicemails going to the wrong places at the wrong times at first. Apparently most people opt for the Messenger app on their Nexus phones, but having walked away from the telco style of doing things this far, I was not about to go back. Some patient on-phone support from the Project Fi team walked me through the right settings. Mischief managed - as far as I can tell.

Also, the caller ID for my Google Voice was never updated to my new hometown when we moved a while back, and although the Project Fi onboarding process is supposed to overwrite that info, something is still amiss, and they're looking into it. Project Fi seems to be using the same infrastructure for managing its voice services as Sprint did for its Google Voice services (not clear if it's the same servers), so for those of us willing to be the "cool kids" on Fi phones, there will be a few teething problems like this. Hopefully these get ironed out, and some of the nice features left behind on Voice like tailored voicemail greetings come back. So all in all, voice is working grand.

So Fi is pretty much a done thing, and I am starting to get used to the Nexus 6. What a blessing to have a phone that actually works with the advanced features that Google and apps-makers offer on Android these days. I had used Android 5.1 Lollipop on my Nexus 7 already, but this is my first time using the dialer features. They're much nicer overall, much more visible, but as always anything different takes a bit of getting used to. The Hangouts dialer had a brief burp on an outgoing call while on the road, but other than that, all is go on the software end.

On the apps end, it's a marvel to use Google Now features whilst mobile on a unit that can keep up with you. I find myself using the voice activated features of Now with much greater confidence, and already its reminders and notes have helped to save by butt a few times. The camera is good, and I am enjoying the virtues of its spot metering, good enough for most snapshots. You could ask for more, but it's delivering, so far. The screen is large and crisp enough to make ebook reading a pleasure, so much so that I find myself not reaching for my Nexus 7 so far since I've fired it up.

On the down side, the ergonomics of the Nexus 6 take some getting used to. Parked on the sofa, I find that typing can be somewhat tiring as you reach a little further than on a smaller phone and you have to grip it a little more just-so than a tablet. I think that this is mostly adjusting to a new form factor. Also on the adjustment agenda: note to self, when holding a phone for a phone call, move your hand down, because where you used to park your finger is the off button. Tried the Project Fi earbuds headset for a phone call, most of these bud/mike setups aren't great for phone calls, and this one is no exception - too much echo on the receiving end, so noise cancellation needs some help.

Batteries and charging on the Nexus 6 is mostly good news also. Normal charging won't get this puppy's battery full in any reasonable time, so its QuickCharge capabilities are a must. The included QC adapter fills it quite quickly, and so far the projected use time of 13 hours that the Android battery monitor claims seems reasonable. A big boost from my old gear. As a plan B there is the 6000 mAh external battery pack included in the Project Fi welcome kit, which includes a QuickCharge USB outlet to re-power your Nexus 6. When all else fails, there's always Battery Saver mode in the Android Settings. The Nexus 6 packs a pretty good battery, so it's not a featherweight, but neither does it feel ponderous with its gently curved case back.

So all in all I am through the break-in period none the worse for wear, and enjoying many of the great benefits of Project Fi. Tomorrow evening is my first trip through the no-man's-land zone of coverage problems that may be bridged by the combo of Sprint and T-Mo more effectively now, so I'll let you know how that goes. Also coming up - an air vent-mounted phone holder, which I hope is sturdy enough to do the job. Happy Fi-ing! #ProjectFi  
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Sounds like Sprints terms +John Blossom perhaps +Nikesh Arora can shed light?
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Signal Economy  - 
 
To Code or Not to Code? Don't bother I say. It is like manual labor. Machines do it better.
 
Looking Inside the Image Recognition of Artificial Intelligence

Software is getting harder and harder for humans to decipher. Even the software developers who design a particular Deep Learning approach don't really know exactly how their algorithms work:

"One of the challenges of neural networks is understanding what exactly goes on at each layer. We know that after training, each layer progressively extracts higher and higher-level features of the image, until the final layer essentially makes a decision on what the image shows. For example, the first layer maybe looks for edges or corners. Intermediate layers interpret the basic features to look for overall shapes or components, like a door or a leaf. The final few layers assemble those into complete interpretations—these neurons activate in response to very complex things such as entire buildings or trees."

This is the standard way of running a Deep Learning approach to image recognition. Recently, MIT Technology Review featured a piece on some work in Japan that reversed this process, perhaps exaggerating a bit in describing the resulting images as a kind of "computational imagination:"
https://plus.google.com/+GideonRosenblatt/posts/8V82FxXKxXD

Now Google researchers, Alexander Mordvintsev, Christopher Olah, and Mike Tyka have published some of their own, similar results:
http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html?m=1

Here's how they describe what they've done:
"One way to visualize what goes on is to turn the network upside down and ask it to enhance an input image in such a way as to elicit a particular interpretation. Say you want to know what sort of image would result in “Banana.” Start with an image full of random noise, then gradually tweak the image towards what the neural net considers a banana... By itself, that doesn’t work very well, but it does if we impose a prior constraint that the image should have similar statistics to natural images, such as neighboring pixels needing to be correlated."

If you care about image recognition or are even just curious about how neural networks work, it's worth reading this relatively quick post from them. It talks about how, by focusing on different layers of the Deep Learning network, they can isolate either very rudimentary shapes that change an image in ways that look similar to a Photoshop filter effect, or, more interestingly, can even create images embedded with the network's interpretation of things like dogs, fish, insects, and temples.

Because the network's 'understanding' of what these objects 'look like' is learned from lots and lots of source images, when systematic noise is also introduced, well, that also shows up in the network's understanding. As an interesting example, the network's understanding of a dumbbell included some organic, arm-like portions that likely stem from the fact that many of the source images of dumbbells had human arms connected to them.

This is fascinating stuff. As the researchers note, it's not hard to imagine artists using these techniques to generate really interesting new approaches to artwork. Might these same techniques also help us to understand how we humans are able to generate images from scratch in our minds' eyes? That's certainly speculative, but I would be surprised if there aren't some neuroscientists out there already digging into that one.

Thanks to +Jeff Dean for highlighting this research in one of his recent posts here:
https://plus.google.com/+JeffDean/posts/jVBUgDxhbRd

Also - make sure to check out the researchers' collection of network-generated images (which is where I found this video). It's mind blowing:
https://photos.google.com/share/AF1QipPX0SCl7OzWilt9LnuQliattX4OUCj_8EP65_cTVnBmS1jnYgsGQAieQUc1VQWdgQ?key=aVBxWjhwSzg2RjJWLWRuVFBBZEN1d205bUdEMnhB

#ai #deeplearning #image #imagination
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+Thomas Cooper can't argue with that.
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Robotics  - 
 
 
This is a collection of free files for downloading 3d printable robot arms. Wait till software and fungible motors and electronics all combine to make this sort of thing common and easy.
Building robots is fun, but it’s even more fun when you can build yourself all the parts. With a precious tool like a 3D printer and a great free collection of designs, you can build your custom robot for a minimum cost. A robot arm is a fascinating point for learning and engineering skills. When …
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A brief history of Flag Day.
http://www.usflag.org/flag.day.html

Our local high school kids installed these flags and do it five times a year as a fund raiser for their marching band.

Memorial Day
Flag Day
Independence Day
Labor Day
Veterans Day


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Infrastructure  - 
 
Not sure what to make of this yet. Does belong under infrastructure though.
 
Many of you are reading this post while living in a city. And you can probably think of a ton of ways you’d like your city to be better—more affordable housing, better public transport, less pollution, more parks and green spaces, safer biking paths, a shorter commute... the list goes on!

Many cities around the world have already made a lot of progress in some of these areas—for instance, developing dashboards to measure and visualize traffic patterns, and building tools that let residents instantly evaluate and provide feedback on city services. But a lot of urban challenges are interrelated—for example, availability of transportation affects where people choose to live, which affects housing prices, which affects quality of life. So it helps to start from first principles and get a big-picture view of the many factors that affect city life. Then, you can develop the technologies and partnerships you need to make a difference.

So I’m very excited about +Sidewalk Labs​, a new company we’ve announced today. (The press release is at www.sidewalkinc.com if you want to read more).  Sidewalk will focus on improving city life for everyone by developing and incubating urban technologies to address issues like cost of living, efficient transportation and energy usage. The company will be led by Dan Doctoroff, former CEO of Bloomberg and Deputy Mayor of Economic Development and Rebuilding for the City of New York. Every time I talk with Dan I feel an amazing sense of opportunity because of all the ways technology can help transform cities to be more livable, flexible and vibrant.  I want to thank +Adrian who helped to bring Dan on board.

While this is a relatively modest investment and very different from Google's core business, it’s an area where I hope we can really improve people’s lives, similar to Google[x] and Calico. Making long-term, 10X bets like this is hard for most companies to do, but Sergey and I have always believed that it’s important. And as more and more people around the world live, work and settle in cities, the opportunities for improving our urban environments are endless. Now it’s time to hit the streets and get to work!
We're on the brink of a historic period for cities around the world. By 2050, the population in cities will double, intensifying existing socioeconomic, public health and environmental problems. At the same time, innovations in technology can be used to design communities that are more efficient ...
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I think the best solution is for cities to simply not be allowed to grow beyond a certain size.  Rather than trying to cram more people in the same small space, they need to spread out.  It might mean having  a company move another city altogether.
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So folks, apparently I speak the language of 700 million on this planet. So chances are, if I meet you, there is 10% chance we can converse without google translate.😎
 
This beautifully illustrated infographic, designed by South China Morning Post’s graphics director Alberto Lucas López, shows the most spoken known languages in the world and where they’re spoken by the 6.3 billion people included in the study

Via http://www.iflscience.com/environment/worlds-most-spoken-languages-and-where-they-are-spoken 

#Languages   #WorldWide   #Environment   #Communication  
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+Mo Smyth 3 fluently. Several more I can get by I found 😏 
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Tried the  #iwatch  Steel Link Bracelet. The bracelet is very well designed. No need to go to a store to adjust. Needs a snug fit for sensor feedback and health apps to work well. Milanese loop works very well for that.

However, it doesn't work with my iPad Air 2. Needs an iPhone.

So I shall wait. For 6s perhaps. Or not. Not sure I want a iPhone.

If it paired with my LTE iPad Air 2, I would have ordered it by now.

What do you think?
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+Abhijit Dhakne which is why the link SS is actually a good deal😁
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Infrastructure  - 
 
Does citywide centralized sewage treatment make sense? Do we have the feasible and viable tech to integrate this via bioengineering into an onsite solution now?
 
There's a saying among engineers that good infrastructure is, by definition, invisible. If you've had to think about your sewer system at all today, the chances are that you are not having a very good day.

The exception, of course, is among those who work on the infrastructure. And as sewer infrastructure is the aphorism example, it's only fair to give you the occasional bit of in-depth (erm. sorry.) reporting about just what infrastructure engineers do with your shit. 

The headline is a bit misleading: it really is the sewage that's falling apart, which is good, not the infrastructure, which would be bad. (Well, the infrastructure needs work as well, but infrastructure always needs work. "Design for maintenance" is one of the basic mantras of engineering, because if you don't do that, people skimp on maintenance, and then you get to deal with what happens when systems unexpectedly and catastrophically fail. That is much, much, worse than maintenance -- whether you're dealing with a bridge, a nuclear reactor, or a wastewater treatment plant.)

Instead, this is a bit of insight into the world of this work -- not just how it's done, but the nonstop monitoring systems which are used to do everything from keep it healthy (most of wastewater treatment is done by maintaining a carefully-cultivated ecosystem of bacteria that eat most of the bad things and then sink to the bottom) to catching illegal dumpers. (Who could easily destroy the entire plant!)

Also, for those of you who live in the Bay Area, this article will tell you where the famous Milpitas Stench comes from.

h/t +Rugger Ducky.
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Discussion  - 
 
this would go under "manufacturing"?
 
Very fast powder sintering. They spray ink on a layer of powder, then use a strong infrared light that only heats and fuses the inked parts before spreading another powder layer.

Build area big enough to print a washing machine.
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    MBA, 2002 - 2005
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