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Tatsuo Horiuchi is a 73-year-old artist, who found his passion in digital art 13 years ago, right before his retirement. However, as graphics software often can be quite expensive, Horiuchi chose to challenge his artistic capabilities by creating his beautiful and highly intricate pictures with Excel.

The idea of trying out something new in life came naturally to Horiuchi – the retirement was approaching quickly and uncompromisingly, and like in most such cases, a new hobby becomes a must. Horiuchi’s been interested in graphic arts for quite some time and it was only a matter of choosing the most affordable and practical software.

Horiuchi had never used Excel at work, nevertheless he soon mastered the technique and even won Excel Autoshape Art Contest in 2006. His deeply delicate and harmoniously colourful images mirror the traditional Japanese paintings, often exhibiting gorgeous landscapes and pieces of natural and cultural heritage.


Teachers, do you ever wonder if you’re helping students get prepared for jobs that will have disappeared by the time they graduate?

As the education world focuses increasingly on the importance of career preparation, it’s a challenging question. How can teachers—and policymakers who influence their work—figure out which career pathways will be productive for students, and which will lead to dead ends?

Based on an analysis of data from the Bureau of Labor Statistics, Bloomberg has created an interactive graphic that rates each field’s likelihood of being replaced by automation. To give it a whirl, I put my own job field in the search box, and was relieved to find that reporters and correspondents aren’t very likely to be replaced by robots anytime soon. (Cue the smiley-face emoticon here.)

But take a look at some of the professions you might be getting your students ready to enter. What are their futures?

A big takeaway from Bloomberg’s chart is that earning a college degree tends to offer more insulation from automation risk than jobs requiring associate degrees or less. The chart is color-coded according to the education level needed for each job field, and it’s easy to see that the blues and greens—connoting jobs requiring associate degrees or higher—are clustered heavily in the zone of least risk for replacement by computers. Teaching is one of those fields: The chart shows that they’re unlikely to be replaced by robots anytime soon. (Cue that smiley emoticon again.)

College degrees don’t offer universal insulation from elimination by automation, though. Accountants and auditors—and aspiring accountants and auditors—might feel a little chill in their blood when they check out this graphic. Loan officers and paralegals might feel a bit uneasy, too. Are you helping students prepare for jobs in those fields? They’re among the better-paid jobs that require college degrees but are also at higher risk for replacement by automation.

Jobs that require a high school diploma—think bus drivers, medical secretaries—are at elevated risk of being replaced. Being an insurance sales agent isn’t looking like a field with great job security, either.

And jobs that require less than a high school diploma are at the highest risk of all: postal clerks, waiters and waitresses, receptionists. Home health aides are one of the few jobs that require no formal education credential and are not at high risk of replacement by computerization.

Some states and districts are farther ahead than others in monitoring the labor market to see which jobs are in demand and which aren’t, and tailoring their offerings to match. Tennessee, for instance, is a leader in this thinking. As I reported earlier this year, Tennessee allows high schools to offer only the programs of study that are backed up by labor-market demand and include options for college degrees or certificates.




All the cloud applications you use on the Internet today are written in a specific computer language. What you see as a nice icon on the front end looks like a bunch of code on the back end. It’s interesting to see where computer languages started and how they have evolved over time. There are now a series of computer languages to choose from and billions lines of code. Check out the infographic below to see the computer language timeline and read some fun facts about code along the way.

The Biggest Scam In The History Of Mankind (In 7 Easy Steps)

Posted October 15, 2013

You are about to learn one of the biggest secrets in the history of the world…it’s a secret that has huge effects for everyone who lives on this planet. Most people can feel deep down that something isn’t quite right with the world economy, but few know what it is. Gone are the days where a family can survive on just one paycheck…every day it seems that things are more and more out of control, yet only one in a million understand why. You are about to discover the system that is ultimately responsible for most of  the inequality in our world today. The powers that be DO NOT want you to know about this, as this system is what has kept them at the top of the financial food-chain for the last 100 years…

Learning this will change your life, because it will change the choices that you make. If enough people learn it, it will change the world…because it will change the system . For this is the biggest Hidden Secret Of Money. Never in human history have so many been plundered by so few, and it’s all accomplished through this…The Biggest Scam In The History Of Mankind. 


“Never in human history have so many been plundered by so few, and it’s
all accomplished through this… The Biggest Scam In The History Of Mankind.” 

– Mike Maloney

datascience_historyData science has been called “the sexiest job of the 21st Century.” With a projected shortage of 140,000 to 190,000 people with deep analytical skills, as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions, data science is a rapidly growing, high-paying field.

Enormous amounts of data are generated every day in a range of areas—social media, search engines, insurance companies, healthcare organizations, hospitals, defense, retail, and many others. Those trained to analyze, visualize, and report these data will add great value across a range of sectors.


Data storage technology has undergone an unprecedented explosion in development and evolution over the last three decades. You may have probably seen a photo about data storage that has been circulating in Facebook and other social media networks. In that clever photo, one panel showed a 250 MB hard disk developed by IBM. The hard disk was as huge as the external unit in a split type airconditioner and required a trolley for it to be transported. The other photo showed a 32GB microSD card. That photo clearly illustrated in stark contrast how much data storage technology has grown and developed – that data that used to fit in a storage medium as large as a refrigerator can now be just a blip in a storage medium as small as your fingernail. Even blog-software cannot fit in the very first hard drives!

The following infographic is another visual reminder of how much data storage and technology has developed over the years. The infographic cleverly illustrates each megabyte to represent a foot in height. You can immediately see the breadth and scale of today’s best storage technologies. It is mind-boggling! The infographic also shows us that all of these advancements are now also accessible to the average consumer because of the exponential drop in prices as data storage becomes more powerful.


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It took over 95,600 NASA photo files taken from the International Space Station and a month of meticulous photo editing to produce this epic high-definition time-lapse video.

The compilation work turned almost 110 Gigabytes of original material into some 40 minutes of raw footage in 4K resolution. Of those Dmitry Pisanko, a Russian photo blogger, selected four minutes of highlights.

Can you see the auroras and the lightning flashes going on?





Oblique Night Image of Taiwan
(Materials from:

SS040-E-081424 (27 July 2014) — From an altitude of 223 miles, one of the Expedition 40 crew members aboard the International Space Station on July 27, 2014 recorded this oblique night image of Taiwan (center foreground) and part of mainland China. Hundreds of fishing vessels, perhaps for harvesting both fish and squid as well as other forms of marine life are seen in clusters throughout the panorama. Two lightning flashes — one on either side of the image — are also visible.


The Advanced Computing Laboratory computes the efficiency, effectiveness, and effort of fishing of Taiwan. We help increase the gain, identify the regions of interest, and environmental protection. In this figure, we see that the northeastern Taiwan is filled with lights, which is a indication of abundant resources. If you are interest in big data analysis, advanced computation, and natural resource management, please take a look at our research group.