Short Honk: From the Luxury Bus to the Street View Auto
July 15, 2016
I am not sure what to make of this story: “Google Cars Attacked by Molotov Cocktails.” At first, I thought Boston Dynamics’ robots had revolted or a person associated with the EU took action. I have a copy of a pundit’s analysis of the Sillycon Valley microcosm in a larger financial superstructure. The book’s title is “Throwing Rocks at the Google Bus.” The shift from luxury bus to Lexus is interesting.
I learned:
A man has federal arson charges as he was accused of attacking the Google Street View vehicles and also other cars that are associated with Google.
I noted this passage:
He [the alleged perpetrator] also told the officers the reason behind these attacks was that he felt that the Google was watching him so it made him upset. He said that he kept the journals of the times as he felt that the company had been watching him.
I don’t know if the journal was online or paper based.
Stephen E Arnold, July 15, 2016
The Watson Update
July 15, 2016
IBM invested a lot of resources, time, and finances into developing the powerful artificial intelligence computer Watson. The company has been trying for years to justify the expense as well as make money off their invention, mostly by having Watson try every conceivable industry that could benefit from big data-from cooking to medicine. We finally have an update on Watson says ZDNet in the article, “IBM Talks About Progress On Watson, OpenPower.”
Watson is a cognitive computer system that learns, supports natural user interfaces, values user expertise, and evolves with new information. Evolving is the most important step, because that will allow Watson to keep gaining experience and learn. When Watson was first developed, IBM fed it general domain knowledge, then made the Watson Discovery to find answers to specific questions. This has been used in the medical field to digest all the information created and applying it to practice.
IBM also did this:
“Most recently IBM has been focused on making Watson available as a set of services for customers that want to build their own applications with natural question-and-answer capabilities. Today it has 32 services available on the Watson Developer Cloud hosted on its Bluemix platform-as-a-service… Now IBM is working on making Watson more human. This includes a Tone Analyzer (think of this as a sort spellchecker for tone before you send that e-mail to the boss), Emotion Analysis of text, and Personality Insights, which uses things you’ve written to assess your personality traits.”
Cognitive computing has come very far since Watson won Jeopardy. Pretty soon the technology will be more integrated into our lives. The bigger question is how will change society and how we live?
Whitney Grace, July 15, 2016
There is a Louisville, Kentucky Hidden Web/Dark
Web meet up on July 26, 2016. Information is at this link: http://bit.ly/29tVKpx.
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The U.S. Government Pushes Improved Public Access to Code Developed for Government Use
July 15, 2016
The article on Matthias Kirschner’s blog titled US Government Commits to Publish Publicly Financed Software Under Free Software Licenses relates the initiative in the draft policy involving governmental support for increased access to tailored software code built for the Federal Government. Kirschner is the President of the Free Software Foundation Europe, and thereby is interested in promoting the United States’ new policy in the European Union. The article explains,
“The Source Code Policy is intended for efficient use of US taxpayers’ money and reuse of existing custom-made software across the public sector. It is said to reduce vendor lock-in of the public sector, and decrease duplicate costs for the same code which in return will increase transparency of public agencies. The custom-build software will also be published to the general public either as public domain, or as Free Software so others can improve and reuse the software.”
Kirschner believes in empowering people by providing this sort of software, and the US government appears to be equally enthusiastic about promoting innovation rather than redundant software purchases. There are also examples of how non-techy people can use open source resources on the White House article about the draft policy. That article lists tools like free housing counselors, sexual assault data, and even college research through College Scorecard. All in all, this seems like a no-brainer.
Chelsea Kerwin, July 15, 2016
There is a Louisville, Kentucky Hidden Web/Dark
Web meet up on July 26, 2016.
Information is at this link: http://bit.ly/29tVKpx.
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Books about Data Mining: Some Free, Some for Fee
July 14, 2016
If you want to load up on fun beach reading, I have a suggestion for you, gentle reader. KDNuggets posted “60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and More.” The does contain books about data mining and a number of other subjects. You will have to read the list and figure out which titles are germane to your interests. A number of the books include a helpful Amazon link. If you click on the hyperlink you may get a registration form, a PDF of the book, or this message:
Stephen E Arnold, July 14, 2016
Real Time Remains Complicated and Costly
July 14, 2016
I love it when search and content processing vendors yammer about their “real time systems.” Years ago I did a report for a client in Europe about the costs of real time. Summarizing the six month research effort is easy: Real time is tough in computer systems. Latency exists.
To get a sense of how tough it is to accelerate certain online actions, navigate to “Legendary Hedge Fund Wants to Use Atomic Clocks to Beat High-Speed Traders.” Despite the wonky “legendary,” I noted this comment:
Patent application no. 14/451,356 [to find this puppy use US2016/0035027] has one goal: to outrun the speed demons of Wall Street. The 16-page document was quietly published by the U.S. Patent and Trademark Office in February. Replete with schematic drawings, the filing describes a novel way for “executing synchronized trades in multiple exchanges.” The invention consists of not only sophisticated algorithms and a host of computer servers, but atomic clocks — precisely calibrated to vibrations of irradiated cesium atoms — to sync orders to within a few billionths of a second.
I also highlighted:
Its invention, developed by the firm’s co-chief executive officers, Robert Mercer and Peter Brown, first sends an order to a central server, which breaks it up into multiple smaller orders. Those are then routed to venues that offer the best prices and most liquidity, much the same as brokers do now. But before that happens, the smaller orders are sent to servers located as close to the exchanges as possible, along with instructions on the precise times they should be executed. The co-located servers sync their transactions so HFT firms won’t have enough time to identify an order on one exchange and then race to another to trade against it. A crucial part of the system is the optical, atomic or GPS clocks that will be used synchronize those orders. Renaissance says in its application that GPS clocks are accurate to within nanoseconds and any time differences between them are “too small to be perceived” by HFT firms.
How much is an atomic clock centric trading system? A well heeled Wall Street firm can afford these systems. The reason is that the infrastructure to pull off this near real time approach is out of reach for many outfits.
How close to real time is a search and content processing system? You can believe the index is up to date, but I would suggest that you are looking at last week’s leftover barbeque chicken in a Tupperware box. Saying “real time” is less difficult and expensive than shaving milliseconds off an online action. Enjoy that chicken?
Stephen E Arnold, July 14, 2016
Try the Amazon Brand Computer Chip
July 14, 2016
Amazon offers its clients cloud storage, software development help, and more services via their Amazon Service Works. The global retailer is also taking on electronics and cable TV with the Kindle and Amazon Fire TV, but now, according to Trusted Reviews, “Amazon Now Selling Own-Brand Computer Chips.” Amazon wants to diversify its offerings even more with its own brand of computer chips.
The Amazon brand computer chips are made by Annapurna Labs that the company purchased last year. Amazon recently announced these chips are now available to the open market and the ARM-based processors can be used in home gateways, WiFi routers, and networked attached storage devices. They are meant to be used as cheap alternatives for home smart devices and data centers, nothing that can compete on the scale of Qualcomm.
The purpose of a capitalistic society is to drive competition and Intel has the computer chip marker monopoly:
“However, it does mark a notable challenge to another major chip manufacturer. As Bloomberg points out, Intel currently has the data-centre infrastructure field pretty much to itself, with a whopping 99% share of the server chip market. Amazon’s entry to this one-sided market could start to change that, although it won’t initially be targeting the kind of high-end servers that represent Intel’s stronghold. Amazon appears to be attacking the low-power edges of the market, which could see it powering (or at least helping to power) that hottest of networks, the Internet of Things.”
Great, Amazon is still working on developing other products, but we want to know when they are going to deploy image search.
Whitney Grace, July 14, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Dark Web Drug Merchant Shiny Flakes Fesses Up
July 14, 2016
Authorities know a bit more about how criminals buy and sell drugs on the dark web, thanks to the cooperation of a captured dealer. DarknetPages’ article, “Dark Web and Clearnet Drug Vendor ‘Shiny Flakes’ Confessed his Crimes,” reveals that the 20-year-old Shiny Flakes, aka Maximilian S., was found with a bevy of illegal drugs, cash, and packaging equipment in his German home. Somehow, the police eventually convinced him to divulge his methods. We learn:
“[Maximilian] actually tried to make money on the internet legally in 2013 by copying fee-based pornographic websites. The thing is that the competition was pretty strong and because of that, he abandoned his idea soon after. So instead of spending the 2 thousand EUR he had at the time on porn, he thought it would be a better idea to spend it on drugs. So he went on to purchase 30 g of cocaine and shrooms from a popular German darknet market dealer and then sold them for a higher price on the dark web….
“Shiny Flakes was really worried about the quality of the drugs he was selling and that is why he always kept an eye on forum posts and read everything that his buyers posted about them. In fact, he took things beyond the opinions on the dark web and actually sent the drugs for testing. The tests conducted were both legally and illegally, with the legal tests taking place at Spain’s Energy Control or at Switzerland’s Safer Party. However, it seems that Maximilian also got in touch with the University of Munich where his products were tested by researchers who were paid in cocaine.”
Sounds efficient. Not only was Mr. Flakes conscientious about product quality, he was also apparently a hard worker, putting in up to 16 hours a day on his business. If only he had stayed on the right side of the law when that porn thing didn’t work out. To give him credit, Flakes had every reason to think he would not be caught; he was careful to follow best practices for staying anonymous on the dark web. Perhaps it was his booming success, and subsequent hiring of associates, that led to Shiny Flakes’ downfall. Whatever the case, authorities are sure to follow up on this information.
Cynthia Murrell, July 14, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Google and Song Lyrics
July 13, 2016
I love the results I get for pop stars, TV shows, and binge watching. To feed the curious minds of online researchers, Google has upped the ante. “Google Licenses LyricFind for Search Results” reports that Google has addressed its miserable search systems for the words in tunes. Consider this lyric:
“My wrist deserve a shout out, I’m like “what up, wrist’?
My stove deserve a shout out, I’m like “what up, stove’?”
According to the write up:
A query for the lyrics to a specific song will pull up the words to much of that song, freeing users from having to click through to another website. Google rolled out the lyrics feature in the U.S. today (June 27), though it has licenses to display the lyrics internationally as well.
I am definitely thrilled. Why worry about the indexing of PowerPoints, PDFs, and other content when I have access to the source of:
I’m that red bull, now let’s fly away.
What’s really flown away? Rag mop.
Stephen E Arnold, July 13, 2016
Google and Visual Search
July 13, 2016
I know that Google does many things. I learned that the company has a discover mode. Take a picture and the GOOG shows you more like this applies applied to mobile search. You can get more information in “More on Tap: Translate, discover and improved Search by Image.”
Google, at almost the same time, bought a company with technology that improves image search. Navigate to “Google Buys Machine Learning Startup Moodstocks to Help Your Phone’s Camera Identify Objects.” The shadow of good enough search is evident on this sunny day. Google rolls out a new service and has to acquire a company with people and technology presumably to add muscle to image recognition.
I find the timing interesting. Is this an example of a service becoming available when that service requires a demiboite of French technology?
Stephen E Arnold, July 13, 2016
What Could Possibly Go Wrong?
July 13, 2016
After reading The Atlantic’s article, “Technology, The Faux Equalizer” about how technology is limited to the very wealthy and does not level the playing field. It some ways new technology can be a nuisance to the average person trying to scratch out a living in an unfriendly economy. Self-driving cars are one fear, but did you ever think bankers and financial advisors would have to compete with algorithms? The International Business Times shares, “Will Financial Analysts Lose Their Jobs To Intelligent Trading Machines?”
Machine learning software can crunch numbers faster and can extrapolate more patterns than a human. Hedge fund companies have hired data scientists, physicists, and astronomers to remove noise from data and help program the artificial intelligence software. The article used UK-based Bridgewater Associates as an example of a financial institute making strides in automizing banking:
“Using Bridgewater as an example, Sutton told IBTimes UK: ‘If you look at their historic trading strategies, it’s been very much long-term bets around what’s happening at a macro level. They have built their entire business on having some of the best research and analytics in the industry and some of the smartest minds thinking on that. When you combine those two things, I would definitely expect artificial intelligence to be applied to identify large-scale trades that might not be evident to an individual researcher.’”
Developing artificial intelligence for the financial sector has already drawn the attention of private companies and could lead to a 30% lose of jobs due to digitization. It would allow financial companies a greater range of information to advise their clients on wise financial choices, but it could also mean these institutes lose talent as the analysts role was to groom more talent.
These will probably be more potential clients for IBM’s Watson. We should all just give up now and hail our robot overlords.
Whitney Grace, July 13, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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