Use Google on Itself to Search Your Personal Gmail Account
December 16, 2016
The article titled 9 Secret Google Search Tricks on Field Guide includes a shortcut to checking on your current and recent deliveries, your flight plans, and your hotels. Google provides this information by pulling keywords from your Gmail account inbox. Perhaps the best one for convenience is searching “my bills” and being reminded of upcoming payments. Of course, this won’t work for bills that you receive via snail mail. The article explains,
Google is your portal to everything out there on the World Wide Web…but also your portal to more and more of your personal stuff, from the location of your phone to the location of your Amazon delivery. If you’re signed into the Google search page, and you use other Google services, here are nine search tricks worth knowing. It probably goes without saying but just in case: only you can see these results.
Yes, search is getting easier. Trust Mother Google. She will hold all your information in her hand and you just need to ask for it. Other tricks include searching “I’ve lost my phone.” Google might not be Find My Iphone, but it can tell you the last place you had your phone, given that you phone was linked to your Google account. Hotels, Events, Photos, Google will have your back.
Chelsea Kerwin, December 16, 2016
Big Data Needs to Go Public
December 16, 2016
Big Data touches every part of our lives and we are unaware. Have you ever noticed when you listen to the news, read an article, or watch a YouTube video that people say items such as: “experts claim, “science says,” etc.” In the past, these statements relied on less than trustworthy sources, but now they can use Big Data to back up their claims. However, popular opinion and puff pieces still need to back up their big data with hard fact. Nature.com says that transparency is a big deal for Big Data and algorithm designers need to work on it in the article, “More Accountability For Big-Data Algorithms.”
One of the hopes is that big data will be used to bridge the divide between one bias and another, except that he opposite can happen. In other words, Big Data algorithms can be designed with a bias:
There are many sources of bias in algorithms. One is the hard-coding of rules and use of data sets that already reflect common societal spin. Put bias in and get bias out. Spurious or dubious correlations are another pitfall. A widely cited example is the way in which hiring algorithms can give a person with a longer commute time a negative score, because data suggest that long commutes correlate with high staff turnover.
Even worse is that people and organizations can design an algorithm to support science or facts they want to pass off as the truth. There is a growing demand for “algorithm accountability,” mostly in academia. The demands are that data sets fed into the algorithms are made public. There also plans to make algorithms that monitor algorithms for bias.
Big Data is here to say, but relying too much on algorithms can distort the facts. This is why the human element is still needed to distinguish between fact and fiction. Minority Report is closer to being our present than ever before.
Whitney Grace, December 16, 2016
Nobody Really Knows What Goes on over Dark Web
December 16, 2016
While the mainstream media believes that the Dark Web is full of dark actors, research by digital security firms says that most content is legal. It only says one thing; the Dark Web is still a mystery.
The SC Magazine in an article titled Technology Helping Malicious Business on the Dark Web Grow says:
The Dark Web has long had an ominous appeal to Netizens with more illicit leanings and interests. But given a broadening reach and new technologies to access this part of the web and obfuscate dealings here, the base of dark web buyers and sellers is likely growing.
On the other hand, the article also says:
But despite its obvious and well-earned reputation for its more sinister side, at least one researcher says that as the dark web expands, the majority of what’s there is actually legal. In its recent study, intelligence firm Terbium Labs found that nearly 55 percent of all the content on the dark web is legal in nature, meaning that it may be legal pornography, or controversial discussions, but it’s not explicitly illegal by U.S. law.
The truth might be entirely different. The Open Web is equally utilized by criminals for carrying out their illegal activities. The Dark Web, accessible only through Tor Browser allows anyone to surf the web anonymously. We may never fully know if the Dark Web is the mainstay of criminals or of individuals who want to do their work under the cloak of anonymity. Till then, it’s just a guessing game.
Vishal Ingole, December 16, 2016
On the Hunt for Thesauri
December 15, 2016
How do you create a taxonomy? These curated lists do not just write themselves, although they seem to do that these days. Companies that specialize in file management and organization develop taxonomies. Usually they offer customers an out-of-the-box option that can be individualized with additional words, categories, etc. Taxonomies can be generalized lists, think of a one size fits all deal. Certain industries, however, need specialized taxonomies that include words, phrases, and other jargon particular to that field. Similar to the generalized taxonomies, there are canned industry specific taxonomies, except the more specialized the industry the less likely there is a canned list.
This is where the taxonomy lists needed to be created from scratch. Where do the taxonomy writers get the content for their lists? They turn to the tried, true resources that have aided researchers for generations: dictionaries, encyclopedias, technical manuals, and thesauri are perhaps one of the most important tools for taxonomy writers, because they include not only words and their meanings, but also synonyms and antonyms words within a field.
If you need to write a taxonomy and are at a lost, check out MultiTes. It is a Web site that includes tools and other resources to get your taxonomy job done. Multisystems built MultiTes and they:
…developed our first computer program for Thesaurus Management on PC’s in 1983, using dBase II under CPM, predecessor of the DOS operating system. Today, more than three decades later, our products are as easy to install and use. In addition, with MultiTes Online all that is needed is a web connected device with a modern web browser.
In other words, they have experience and know their taxonomies.
Whitney Grace, December 15, 2016
DuckDuckGo Makes Search Enhancements by Leveraging Yahoo Partnership
December 13, 2016
The article on Duck.co titled New Features from a Stronger Yahoo Partnership relates the continuation of the relationship between DuckDuckGo and Yahoo. DuckDuckGo has gained fame for its unique privacy policy of not tracking its users, which of course flies in the face of the Google Goliath, which is built on learning about its users by monitoring their habits and improving the search engine using that data. Instead, DuckDuckGo insists on forgetting its users and letting them search without fear of it being recorded somewhere. The article conveys some of the ways that Yahoo is mingled with the David of search engines,
In addition to the existing technology we’ve been using, DuckDuckGo now has access to features you’ve been requesting for years: Date filters let you filter results from the last day, week and month. Site links help you quickly get to subsections of sites. Of course our privacy policy remains the same: we don’t track you. In addition, we’re happy to announce that Yahoo has published a privacy statement to the same effect.
Paranoid internet users and people with weird secretive fetishes alike, rejoice! DuckDuckGo will soon be vastly improved. The article does not state an exact date for this new functionality to be revealed, but it is coming soon.
Chelsea Kerwin, December 13, 2016
How Big a Hurdle Is Encryption Really?
December 12, 2016
At first blush, the recent Wiretap Report 2015 from United States Courts would seem to contradict law enforcement’s constant refrain that encryption is making their jobs difficult. Motherboard declares, “Feds and Cops Encountered Encryption in Only 13 Wiretaps in 2015.” This small number is down from 2014. Isn’t this evidence that law enforcement agencies are exaggerating their troubles? The picture is not quite so simple. Reporter Lorenzo Franceschi-Bicchierai writes:
Both FBI director James Comey, as well as Deputy Attorney General Sally Yates, argued last year that the Wiretap Report is not a good indicator. Yates said that the Wiretap Report only reflects number of interception requests ‘that are sought’ and not those where an investigator doesn’t even bother asking for a wiretap ‘because the provider has asserted that an intercept solution does not exist.
Obtaining a wiretap order in criminal investigations is extremely resource-intensive as it requires a huge investment in agent and attorney time,’ Yates wrote, answering questions from the chairman of the Senate’s Judiciary Committee, Sen. Chuck Grassley (R-IA). ‘It is not prudent for agents and prosecutors to devote resources to this task if they know in advance that the targeted communications cannot be intercepted.
That’s why Comey promised the agency is working on improving data collection ‘to better explain’ the problem with encryption when data is in motion. It’s unclear then these new, improved numbers will come out.
Of course, to what degree encryption actually hampers law enforcement is only one piece of a complex issue—whether we should mandate that law enforcement be granted “back doors” to every device they’d like to examine. There are the crucial civil rights concerns, and the very real possibility that where law enforcement can get in, so too can hackers. It is a factor, though, that we must examine objectively. Perhaps when we get that “better” data from the FBI, the picture will be more clear.
Cynthia Murrell, December 12, 2016
GE Now Manufactures Artificial Intelligence
December 9, 2016
GE (General Electric) makes appliances, such as ovens, ranges, microwaves, washers, dryers, and refrigerators. Once you get them out of the appliance market, their expertise appears to end. Fast Company tells us that GE wants to branch out into new markets and the story is in, “GE Wants To Be The Next Artificial Intelligence Powerhouse .”
GE is a multi-billion dollar company and they have the resources to invest in the burgeoning artificial intelligence market. They plan to employ two new acquisitions and bring machine learning to the markets they already dominate. GE first used machine learning in 2015 with Predix Cloud, which recorded industrial machinery sensor patterns. It was, however, more of a custom design for GE than one with a universal application.
GE purchased Bit Stew Systems, a company similar to the Predix Cloud except that collected industrial data, and Wise.io, a company that used astronomy-based technology to streamline customer support systems. Predix already has a string of customers and has seen much growth:
Though young, Predix is growing fast, with 270 partner companies using the platform, according to GE, which expects revenue on software and services to grow over 25% this year, to more than $7 billion. Ruh calls Predix a “significant part” of that extra money. And he’s ready to brag, taking a jab at IBM Watson for being a “general-purpose” machine-learning provider without the deep knowledge of the industries it serves. “We have domain algorithms, on machine learning, that’ll know what a power plant is and all the depth of that, that a general-purpose machine learning will never really understand,” he says.
GE is tackling issues in healthcare and energy issues with Predix. GE is proving it can do more than make a device that can heat up a waffle. The company can affect the energy, metal, plastic, and computer system used to heat the waffle. It is exactly like how mason jars created tools that will be used in space.
Whitney Grace, December 9, 2016
Zo Tay! Piz Daint. Microsoft Talks Quantum But Goes Cray
December 8, 2016
There’s a new Microsoft chatbot coming. Microsoft wants to deploy smarter, less racist chatbots I assume. To achieve that goal, Microsoft talks quantum computing and qubits (not Quberts). However, when it comes to crunching data, Microsoft is embracing the ever popular and somewhat iconic Cray outfit.
Navigate to “Microsoft Goes Cray for Deep Learning on Supercomputers.” The write up informed me that:
The deep learning process could be about to change dramatically thanks to work being carried out Cray, Microsoft and the Swiss National Supercomputing Centre. In existing architectures and conventional systems, deep learning requires a slow training process that can take months, something that can lead to significantly higher costs and delays in making scientific discoveries. Cray believes that its work with Microsoft and CSSC could have solved this problem by applying supercomputing architectures to accelerate the training process.
The name of my servers are derived from dogs owned by my friends. Yes, there was an Oreo and a Biscuit.
But what is the name of the pricey, complex, and semi fast Cray supercomputer?
Give up? Here’s a clue: “A prominent peak in Grisons that overlooks the Fuorn pass.”
Need more time?
Give up?
Okay.
The answer is…
Piz Daint
There you go. Tay, Zo, and Piz Daint. Outstanding.
The write up told me:
According to the supercomputer manufacturer, deep learning problems share algorithmic similarities with applications that are traditionally run on a massively parallel supercomputer. So by optimizing inter-node communication using the Cray XC Aries network and a high performance MPI library, each training job is said to be able to leverage more compute resources and therefore reduce the amount of time required to train them.
I too believe everything computer assemblers tell me. I recall a demonstration online system which boasted fancy Dan machines from Sun Microsystems. The high powered, expensive hardware could support four—yep, four—simultaneous users. Another example is the system designed to search video news which boasted a five minute response time. Flashy hardware. Software seemed to be the problem. And Microsoft rarely distributes software which does not work as advertised. I wish I knew how to get that Word numbering system to work. Oh, well.
Keep in mind that Cray is providing some Microsoft hardware with its machines. Plus, Cray is based in Seattle. Microsoft’s and Cray’s partner in the test is the Swiss National Supercomputing Centre (CSCS). I like Switzerland, and I assume there will be some meetings there. The Swiss also enjoy US holiday shopping. I assume there will be or have been some visits by Swiss wizards to Seattle. I am not sure how many meetings will be scheduled in Chippewa Falls, Wisconsin, however. I thought Cray was owned by Tera Computer. I did a quick check on the financial health of the Cray outfit. I concluded that the tie up will definitely be a plus for the Cray folks. By the way, Cray was founded in 1972.
Stephen E Arnold, December 8, 2016
Cray
The One Percent Have Privately Disappeared
December 8, 2016
People like to think that their lives are not always monitored, especially inside their domiciles. However, if you have installed any type of security camera, especially a baby monitor, the bad news is that they are easily hacked. Malware can also be downloaded onto a computer to spy on you through the built-in camera. Mark Zuckerberg coves his laptop’s camera with a piece of electrical tape. With all the conveniences to spy on the average individual, it is not surprising that the rich one percent are literally buying their privacy by disappearing. FT.com takes a look about, “How The Super-Rich Are Making Their Homes ‘Invisible.’”
The article opens with a description about how an entire high-end California neighborhood exists, but it is digitally “invisible” on Google Street View. Celebrities live in this affluent California neighborhood and the management company does not even give interviews. Privacy is one of the greatest luxuries one can buy in this age and the demand will grow as mobile Internet usages increases. The use of cameras is proportional to Internet usage.
People who buy privacy by hiding their homes want to avoid prying eyes, such a paparazzi and protect themselves from burglars. The same type of people who buy privacy are also being discreet about their wealth. They do not flaunt it, unlike previous eras. In the business sector, more and more clients want to remain anonymous so corporations are creating shell businesses to protect their identities.
There is an entire market for home designs that hide the actual building from prying eyes. The ultimate way to disappear, however, is to live off the grid:
For extra stealth, property owners can take their homes off the grid — generating their own electricity and water supply avoids tell-tale pipes and wires heading on to their land. Self-sufficient communities have become increasingly popular for privacy, as well as ecological, reasons; some estimates suggest that 180,000 households are living off the grid in the US alone.
Those people who live off the grid will also survive during a zombie apocalypse, but I digress.
It is understandable that celebrities and others in the public eye require more privacy than the average citizen, but we all deserve the same privacy rights. But it brings up another question: information needs to be found in order to be used. Why should some be able to disappear while others cannot?
Whitney Grace, December 8, 2016
Google Search Results Are Politically Biased
December 7, 2016
Google search results are supposed to be objective and accurate. The key phrase in the last sentence was objective, but studies have proven that algorithms can be just as biased as the humans who design them. One would think that Google, one of the most popular search engines in the world, who have discovered how to program objective algorithms, but according to the International Business Times, “Google Search Results Tend To Have Liberal Bias That Could Influence Public Opinion.”
Did you ever hear Uncle Ben’s advice to Spider-Man, “With great power comes great responsibility.” This advice rings true for big corporations, such as Google, that influence the public opinion. CanIRank.com conducted a study the discovered searches using political terms displayed more pages with a liberal than a conservative view. What does Google have to say about it?
The Alphabet-owned company has denied any bias and told the Wall Street Journal: ‘From the beginning, our approach to search has been to provide the most relevant answers and results to our users, and it would undermine people’s trust in our results, and our company, if we were to change course.’ The company maintains that its search results are based on algorithms using hundreds of factors which reflect the content and information available on the Internet. Google has never made its algorithm for determining search results completely public even though over the years researchers have tried to put their reasoning to it.
This is not the first time Google has been accused of a liberal bias in its search results. The consensus is that the liberal leanings are unintentional and is an actual reflection of the amount of liberal content on the Web.
What is the truth? Only the Google gods know.
Whitney Grace, December 7, 2016
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