So a whois.net domain name lookup on their site yielded nothing. And there are suspiciously no patents mentioning "wetag" or "ifind" and the names they listed (Dr. Paul McArthur) are in patents but for cold fusion BS in California.

Surely, though, they must have registered the "iFind" trademark? And if you search on TESS we find:

With an attorney listed as "Richard G. Eldredge" which corresponds to a local attorney. Before you deploy the door kickers to lynch somebody, that address is just somebody's $200,000 house and could possibly be a random address used by a jerk. Remember that it's entirely possible that this is all a front by some other actor and someone was paid western union/bitcoin to register this trademark through this attorney without realizing they were just being used by literally anyone in the world ... of course, kickstarter should have even better transaction details (hopefully).

BTW, that's a very cool paper! Have you considered using these techniques towards image processing, segmentation, etc.?

We also use very similar force algorithms in our cancer models. :-) e.g., http://www.sciencedirect.com/s...

The description of the agents and forces in this summary was actually very well done.

Shouldn't this be 1.7 decaearths?

Since the sun is about 333 kiloearths in mass, wouldn't a megaearth be about 3 solar masses? :-)

One of my colleagues in in his mid-60s, and happily puttering around in modern technologies and adapting what he knows about systems to the latest tools. Writing prototype code in Clojure, using network databases (neo4j), doing interesting data modeling and generally just making stuff happen. He's learning new stuff every day, having fun - and getting to say no to job offers on a regular basis. I've been in this industry for more than 30 years and I'm currently mucking around with Hadoop, cloud computing and a bunch of the new things.

People talk about time to learn, but it's a question about making time. Would you want to visit a doctor that hasn't updated their skills in 20 years?

Alan.

For many reasons including:

There aren't many places that do not have Office installed. People are very familiar with it and even if they aren't, they can usually make their way around it in with only a little coaching.

Most companies use Excel for basic analysis, charting, and data delivery to non-technical report recipients.

Deliver a raw dataset and allow the end-user to pivot, chart, etc. It takes the strain off the analytics team for basic tasks and gives the end user the power to do what they want with the data. Tableau seat licenses aren't realistic for most companies and building some sort of analytics platform from scratch in your language of choice isn't always something you can do in the short term and provide more functionality with less training required.

I could go on, but that gives you a general idea.

In the work my team is responsible for, I look for culture fit above anything else. I took a guy with some internship work during his graduate schooling and turned him into what I consider a stellar programmer/analyst.

I'd concentrate on your programming skill and your business knowledge, if any. A lot of organizations are looking for report jockeys and/or true analysts and in that case, highlight your visualization and analysis ability first, programming second. What sort of experience did you have during your schooling that you believe makes you a good fit for an analytics role today?

We have sponsored before, but we/I prefer to hire those who don't require it first.