Thursday, August 29, 2019
Friday, August 9, 2019
Texans Head To Stores And Computers To Shop During Sales Tax Holiday
NORTH TEXAS (CBSDFW.COM) – The tax-free holiday is officially upon us and Texas parents are already hitting the shopping aisles taking full advantage of the savings.
Kohl’s department store has a little bit of everything — from backpacks and clothing to shoes and socks. All things that fall on the list of tax-free items.
If you have some back to school shopping left to do, this is the weekend you want to get it done, at a savings of about 8% off of all items under $100. It’s the perfect time to stock up on school supplies or get an extra pair of budget friendly shoes.
The state comptroller says Texans will save more than $102 million over the course of this weekend.
Althea Hanna, visiting from New Mexico, was unaware of the holiday. “I think it makes a big difference when it adds up at the end,” she said.
Gabby Ramirez, 15, was out shopping with her grandmother. She took advantage of the tax-free items and also the clearance items. “I think it’s really cool because i don’t like spending my parents money because I feel bad afterwards and the fact these we got good deals is like great,” said Ramirez.
The tax free holiday began this morning and runs through midnight August 11.
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Thursday, August 8, 2019
CBS 2 Investigates: Old Computers Causing Big Problems For Illinois State Offices
CHICAGO (CBS) — The 2 Investigators are digging into a looming crisis here in Illinois.
We can see the crumbling roads and bridges because of a cash shortage, but also hidden inside state office buildings are aging and obsolete computers that are prone to problems.
CBS 2’s Dorothy Tucker asked the top tech guy in Illinois the tough questions.
Ron Guerrier showed Tucker around the Thompson Center offices of state’s Department of Innovation and Technology, where he is in charge.
Workers there have state-of-the-art equipment, but behind the scenes, the mainframes that power many systems are not so current at all.
“The systems are old,” Guerrier said. “Some of them are 30-plus years old.”
Thirty years ago, President George H.W. Bush – President Bush Sr. – had just taken the oath of office as president, and Richard M. Daley had just taken office as Chicago’s mayor. Computers were large and bulky and had drives for floppy disks.
Some computer systems that old are still in use by the State of Illinois.
“In the state, there are systems that are well over their shelf life,” Guerrier said.
Why are we telling you this? You will remember a few weeks ago on July 10, computers for the state’s unemployment department stopped working – inconveniencing tens of thousands.
“One of the reasons this happened that had such a ripple effect is the antiquated systems are a lot older than we anticipated, so if you make a change here, it has an adverse effect on other systems around it,” Guerrier said.
He said such a thing could indeed happen again.
“It may happen again, but every time something happens, we want to learn from it so that one particular issue does not reoccur,” Guerrier said.
The Illinois Secretary of State’s computers suffered an outage back in January, causing major headaches for those needing to obtain or renew their driver’s licenses.
Tucker asked Guerrier about that shutdown.
“That I can’t speak to, because the Secretary of State has his own CIO,” he said.
Of the five top elected officials in Illinois – Gov. J.B. Pritzker, Secretary of State Jesse White, Attorney General Kwame Raoul, Treasurer Michael Frerichs, and Comptroller Susana Mendoza – all but Mendoza have chief information officers right now.
But do they communicate with one another? Long story short, the answer is no.
“The idea is that we’re going to have more discussions. Historically, the four CIOs have never spoken to each other,” Guerrier said. “We are bringing that together.”
He said the CIOs are now scheduled to meet soon.
Part of the issue is money, of course. New computers are not cheap.
But it’s also an aging workforce. As older state employees retire, they take the institutional knowledge of keeping old systems running with them.
“How do you get a millennial to get excited about a mainframe – which is a challenge? Because at the end of the day, they want to work on the new, cool, exciting stuff. They don’t want to work on an old green screen,” Guerrier said. “Unfortunately, what we have today are old green screens.”
But this story is not all doom and gloom. Guerrier has some solutions to try to bring Illinois’ computers into the 21st century.
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Is Now The Time To Put JLT Mobile Computers (STO:JLT) On Your Watchlist?
For beginners, it can seem like a good idea (and an exciting prospect) to buy a company that tells a good story to investors, even if it completely lacks a track record of revenue and profit. But as Peter Lynch said in One Up On Wall Street, 'Long shots almost never pay off.'
So if you're like me, you might be more interested in profitable, growing companies, like JLT Mobile Computers (STO:JLT). While profit is not necessarily a social good, it's easy to admire a business than can consistently produce it. In comparison, loss making companies act like a sponge for capital - but unlike such a sponge they do not always produce something when squeezed.
See our latest analysis for JLT Mobile Computers
How Fast Is JLT Mobile Computers Growing Its Earnings Per Share?
Over the last three years, JLT Mobile Computers has grown earnings per share (EPS) like young bamboo after rain; fast, and from a low base. So I don't think the percent growth rate is particularly meaningful. As a result, I'll zoom in on growth over the last year, instead. Like a falcon taking flight, JLT Mobile Computers's EPS soared from kr0.26 to kr0.37, over the last year. That's a commendable gain of 41%.
One way to double-check a company's growth is to look at how its revenue, and earnings before interest and tax (EBIT) margins are changing. While we note JLT Mobile Computers's EBIT margins were flat over the last year, revenue grew by a solid 15% to kr134m. That's progress.
You can take a look at the company's revenue and earnings growth trend, in the chart below. To see the actual numbers, click on the chart.
OM:JLT Income Statement, August 6th 2019
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JLT Mobile Computers isn't a huge company, given its market capitalization of kr162m. That makes it extra important to check on its balance sheet strength.
Are JLT Mobile Computers Insiders Aligned With All Shareholders?
Many consider high insider ownership to be a strong sign of alignment between the leaders of a company and the ordinary shareholders. So as you can imagine, the fact that JLT Mobile Computers insiders own a significant number of shares certainly appeals to me. Actually, with 49% of the company to their names, insiders are profoundly invested in the business. I'm reassured by this kind of alignment, as it suggests the business will be run for the benefit of shareholders. Of course, JLT Mobile Computers is a very small company, with a market cap of only kr162m. So despite a large proportional holding, insiders only have kr79m worth of stock. That's not a huge stake in absolute terms, but it should help keep insiders aligned with other shareholders.
Does JLT Mobile Computers Deserve A Spot On Your Watchlist?
For growth investors like me, JLT Mobile Computers's raw rate of earnings growth is a beacon in the night. I think that EPS growth is something to boast of, and it doesn't surprise me that insiders are holding on to a considerable chunk of shares. Fast growth and confident insiders should be enough to warrant further research. So the answer is that I do think this is a good stock to follow along with. Once you've identified a business you like, the next step is to consider what you think it's worth. And right now is your chance to view our exclusive discounted cashflow valuation of JLT Mobile Computers. You might benefit from giving it a glance today.
Story continues
Although JLT Mobile Computers certainly looks good to me, I would like it more if insiders were buying up shares. If you like to see insider buying, too, then this free list of growing companies that insiders are buying, could be exactly what you're looking for.
Please note the insider transactions discussed in this article refer to reportable transactions in the relevant jurisdiction
We aim to bring you long-term focused research analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.
If you spot an error that warrants correction, please contact the editor at editorial-team@simplywallst.com. This article by Simply Wall St is general in nature. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. Simply Wall St has no position in the stocks mentioned. Thank you for reading.
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Seeing how computers 'think' helps humans stump machines and reveals AI weaknesses
One of the ultimate goals of artificial intelligence is a machine that truly understands human language and interprets meaning from complex, nuanced passages. When IBM's Watson computer beat famed "Jeopardy!" champion Ken Jennings in 2011, it seemed as if that milestone had been met. However, anyone who has tried to have a conversation with virtual assistant Siri knows that computers have a long way to go to truly understand human language. To get better at understanding language, computer systems must train using questions that challenge them and reflect the full complexity of human language.
Researchers from the University of Maryland have figured out how to reliably create such questions through a human-computer collaboration, developing a dataset of more than 1,200 questions that, while easy for people to answer, stump the best computer answering systems today. The system that learns to master these questions will have a better understanding of language than any system currently in existence. The work is described in an article published in the 2019 issue of the journal Transactions of the Association for Computational Linguistics.
"Most question-answering computer systems don't explain why they answer the way they do, but our work helps us see what computers actually understand," said Jordan Boyd-Graber, associate professor of computer science at UMD and senior author of the paper. "In addition, we have produced a dataset to test on computers that will reveal if a computer language system is actually reading and doing the same sorts of processing that humans are able to do."
Most current work to improve question-answering programs uses either human authors or computers to generate questions. The inherent challenge in these approaches is that when humans write questions, they don't know what specific elements of their question are confusing to the computer. When computers write the questions, they either write formulaic, fill-in-the blank questions or make mistakes, sometimes generating nonsense.
To develop their novel approach of humans and computers working together to generate questions, Boyd-Graber and his team created a computer interface that reveals what a computer is "thinking" as a human writer types a question. The writer can then edit his or her question to exploit the computer's weaknesses.
In the new interface, a human author types a question while the computer's guesses appear in ranked order on the screen, and the words that led the computer to make its guesses are highlighted.
For example, if the author writes "What composer's Variations on a Theme by Haydn was inspired by Karl Ferdinand Pohl?" and the system correctly answers "Johannes Brahms," the interface highlights the words "Ferdinand Pohl" to show that this phrase led it to the answer. Using that information, the author can edit the question to make it more difficult for the computer without altering the question's meaning. In this example, the author replaced the name of the man who inspired Brahms, "Karl Ferdinand Pohl," with a description of his job, "the archivist of the Vienna Musikverein," and the computer was unable to answer correctly. However, expert human quiz game players could still easily answer the edited question correctly.
By working together, humans and computers reliably developed 1,213 computer-stumping questions that the researchers tested during a competition pitting experienced human players -- from junior varsity high school trivia teams to "Jeopardy!" champions -- against computers. Even the weakest human team defeated the strongest computer system.
"For three or four years, people have been aware that computer question-answering systems are very brittle and can be fooled very easily," said Shi Feng, a UMD computer science graduate student and a co-author of the paper. "But this is the first paper we are aware of that actually uses a machine to help humans break the model itself."
The researchers say these questions will serve not only as a new dataset for computer scientists to better understand where natural language processing fails, but also as a training dataset for developing improved machine learning algorithms. The questions revealed six different language phenomena that consistently stump computers.
These six phenomena fall into two categories. In the first category are linguistic phenomena: paraphrasing (such as saying "leap from a precipice" instead of "jump from a cliff"), distracting language or unexpected contexts (such as a reference to a political figure appearing in a clue about something unrelated to politics). The second category includes reasoning skills: clues that require logic and calculation, mental triangulation of elements in a question, or putting together multiple steps to form a conclusion.
"Humans are able to generalize more and to see deeper connections," Boyd-Graber said. "They don't have the limitless memory of computers, but they still have an advantage in being able to see the forest for the trees. Cataloguing the problems computers have helps us understand the issues we need to address, so that we can actually get computers to begin to see the forest through the trees and answer questions in the way humans do."
There is a long way to go before that happens added Boyd-Graber, who also has co-appointments at the University of Maryland Institute for Advanced Computer Studies (UMIACS) as well as UMD's College of Information Studies and Language Science Center. But this work provides an exciting new tool to help computer scientists achieve that goal.
"This paper is laying out a research agenda for the next several years so that we can actually get computers to answer questions well," he said.
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