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  • Alaska Airlines Takes Off with Siebel Loyalty and Marketing

    - by tony.berk
    Who likes junk mail? Not me! But I don't mind targeted messages that are relevant to me. Alaska Airlines greatly improved their ability to be more personal with their customers by replacing a legacy mainframe loyalty system with Siebel Loyalty and Siebel Marketing. Which means, as an Alaska Airlines customer, I get less junk mail! With improved access to customer profile information in Siebel, Alaska Airlines presents targeted, relevant offers on their website and via email. At the same time, Alaska Airlines has reduced their speed-to-market with promotions by 150 percent and can now implement new partner marketing programs twice as fast. Finally, as Steve Jarvis, VP of Marketing, Sales and Customer Experience at Alaska Airlines, points out in the video, Alaska Airlines can now reach all 22 million of their annual passengers, not just the 10% who were in the legacy loyalty system. To see other customer success stories, visit Siebel CRM Success. Click here to learn more about Oracle's CRM products.

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • google changing crawl speed: doesn't seem to work. Why?

    - by Olivier Pons
    I've changed 3 days ago the google crawling speed of mywebsite. Here it is: This means: 2 demands by second. I've got the message on the google webmasters tools that the change speed has been taken in account: But after more than three days, nothing happens: still one request every ten seconds See here: My webserver is very fast and can handle up to twenty simultaneous connexions. And my website is brand new, this means google is almost the only one here crawling my website. After more than 30000 successful requests (= no 404), I think there's something going on... or maybe this is just a bug? Has anyone ever had this problem?

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  • Friday Fun: Splash Back

    - by Asian Angel
    The best part of the week has finally arrived, so why not take a few minutes to have some quick fun? In this week’s game you get to play with alien goo as you work to clear the game board and reach as high a level as possible Latest Features How-To Geek ETC How to Upgrade Windows 7 Easily (And Understand Whether You Should) The How-To Geek Guide to Audio Editing: Basic Noise Removal Install a Wii Game Loader for Easy Backups and Fast Load Times The Best of CES (Consumer Electronics Show) in 2011 The Worst of CES (Consumer Electronics Show) in 2011 HTG Projects: How to Create Your Own Custom Papercraft Toy Calvin and Hobbes Mix It Up in this Fight Club Parody [Video] Choose from 124 Awesome HTML5 Games to Play at Mozilla Labs Game On Gallery Google Translate for Android Updates to Include Conversation Mode and More Move Your Photoshop Scratch Disk for Improved Performance Winter Storm Clouds on the Horizon Wallpaper Existential Angry Birds [Video]

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  • Cheap, Awesome, Programmer-friendly City in Europe for 1 year Study Hiatus?

    - by Gonjasufi
    Next year I'll be 21. I'll have 3 years of professional experience under my belt (with a one year break as a soldier). I'm planning to take 2 to 3 years off. Instead of going to a university I'm planning to work on personal projects and learn on my own. I'm looking for suggestions of great, cheap, programmer-friendly (e.g. lots of cafes, ordered food, parks, blazing fast internet connection, wifi, lots of people that speak English) cities around the world, (and specifically in Europe as I also have european citizenship). If you can supply with an estimate cost of living for that city, or a site for comparisons that will also be great. edit: I'm living in Tel Aviv, ~20 highest cost of living city in the world, so statistically speaking almost all the cities are cheaper.

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  • As a game developer, which data structure use for develop the game? [duplicate]

    - by Rizwanabbasi
    This question already has an answer here: When should vector/list be used? 5 answers We are developing a game for bank robbery. The game plots a bank robbery. Lots of people witness that robbery. Our game will load the lists of suspected offenders while the players (witnesses) will have to identify the offenders of this robbery. Game should load list of offenders to identify the one as quickly as possible. Admin can add/remove offenders in the lists and two or more lists of offenders can also be merged into one (to show it to the player). As a game developer, which data structure we should use for develop the game? Justify your selection with solid arguments. Remember the most critical requirement is that the list should load super fast.

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  • Oracle Announces General Availability of Oracle Database 12c, the First Database Designed for the Cloud

    - by Javier Puerta
    Oracle Announces General Availability of Oracle Database 12c, the First Database Designed for the Cloud REDWOOD SHORES, Calif. – July 1, 2013 News Summary As organizations embrace the cloud, they seek technologies that will transform business and improve their overall operational agility and effectiveness. Oracle Database 12c is a next-generation database designed to meet these needs, providing a new multitenant architecture on top of a fast, scalable, reliable, and secure database platform. By plugging into the cloud with Oracle Database 12c, customers can improve the quality and performance of applications, save time with maximum availability architecture and storage management and simplify database consolidation by managing hundreds of databases as one. Read full press release

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  • Oracle Announces General Availability of Oracle Database 12c, the First Database Designed for the Cloud

    - by Javier Puerta
    Oracle Announces General Availability of Oracle Database 12c, the First Database Designed for the Cloud REDWOOD SHORES, Calif. – July 1, 2013 News Summary As organizations embrace the cloud, they seek technologies that will transform business and improve their overall operational agility and effectiveness. Oracle Database 12c is a next-generation database designed to meet these needs, providing a new multitenant architecture on top of a fast, scalable, reliable, and secure database platform. By plugging into the cloud with Oracle Database 12c, customers can improve the quality and performance of applications, save time with maximum availability architecture and storage management and simplify database consolidation by managing hundreds of databases as one. Read full press release  

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  • Mixed Emotions: Humans React to Natural Language Computer

    - by Applications User Experience
    There was a big event in Silicon Valley on Tuesday, November 15. Watson, the natural language computer developed at IBM Watson Research Center in Yorktown Heights, New York, and its inventor and principal research investigator, David Ferrucci, were guests at the Computer History Museum in Mountain View, California for another round of the television game Jeopardy. You may have read about or watched on YouTube how Watson beat Ken Jennings and Brad Rutter, two top Jeopardy competitors, last February. This time, Watson swept the floor with two Silicon Valley high-achievers, one a venture capitalist with a background  in math, computer engineering, and physics, and the other a technology and finance writer well-versed in all aspects of culture and humanities. Watson is the product of the DeepQA research project, which attempts to create an artificially intelligent computing system through advances in natural language processing (NLP), among other technologies. NLP is a computing strategy that seeks to provide answers by processing large amounts of unstructured data contained in multiple large domains of human knowledge. There are several ways to perform NLP, but one way to start is by recognizing key words, then processing  contextual  cues associated with the keyword concepts so that you get many more “smart” (that is, human-like) deductions,  rather than a series of “dumb” matches.  Jeopardy questions often require more than key word matching to get the correct answer; typically several pieces of information put together, often from vastly different categories, to come up with a satisfactory word string solution that can be rephrased as a question.  Smarter than your average search engine, but is it as smart as a human? Watson was especially fast at descrambling mixed-up state capital names, and recalling and pairing movie titles where one started and the other ended in the same word (e.g., Billion Dollar Baby Boom, where both titles used the word Baby). David said they had basically removed the variable of how fast Watson hit the buzzer compared to human contestants, but frustration frequently appeared on the faces of the contestants beaten to the punch by Watson. David explained that top Jeopardy winners like Jennings achieved their success with a similar strategy, timing their buzz to the end of the reading of the clue,  and “running the board”, being first to respond on about 60% of the clues.  Similar results for Watson. It made sense that Watson would be good at the technical and scientific stuff, so I figured the venture capitalist was toast. But I thought for sure Watson would lose to the writer in categories such as pop culture, wines and foods, and other humanities. Surprisingly, it held its own. I was amazed it could recognize a word definition of a syllogism in the category of philosophy. So what was the audience reaction to all of this? We started out expecting our formidable human contestants to easily run some of their categories; however, they started off on the wrong foot with the state capitals which Watson could unscramble so efficiently. By the end of the first round, contestants and the audience were feeling a little bit, well, …. deflated. Watson was winning by about $13,000, and the humans had gone into negative dollars. The IBM host said he was going to “slow Watson down a bit,” and the humans came back with respectable scores in Double Jeopardy. This was partially thanks to a very sympathetic audience (and host, also a human) providing “group-think” on many questions, especially baseball ‘s most valuable players, which by the way, couldn’t have been hard because even I knew them.  Yes, that’s right, the humans cheated. Since Watson could speak but not hear us (it didn’t have speech recognition capability), it was probably unaware of this. In Final Jeopardy, the single question had to do with law. I was sure Watson would blow this one, but all contestants were able to answer correctly about a copyright law. In a career devoted to making computers more helpful to people, I think I may have seen how a computer can do too much. I’m not sure I’d want to work side-by-side with a Watson doing my job. Certainly listening and empathy are important traits we humans still have over Watson.  While there was great enthusiasm in the packed room of computer scientists and their friends for this standing-room-only show, I think it made several of us uneasy (especially the poor human contestants whose egos were soundly bashed in the first round). This computer system, by the way , only took 4 years to program. David Ferrucci mentioned several practical uses for Watson, including medical diagnoses and legal strategies. Are you “the expert” in your job? Imagine NLP computing on an Oracle database.   This may be the user interface of the future to enable users to better process big data. How do you think you’d like it? Postscript: There were three little boys sitting in front of me in the very first row. They looked, how shall I say it, … unimpressed!

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  • DirectCompute Lectures

    - by Daniel Moth
    Previously I shared resources to get you started with DirectCompute, for taking advantage of GPGPUs in an a way that doesn't tie you to a hardware vendor (e.g. nvidia, amd). I just stumbled upon and had to share a lecture series on channel9 on DirectCompute! Here are direct links to the episodes that are up there now: DirectCompute Expert Roundtable Discussion DirectCompute Lecture Series 101- Introduction to DirectCompute DirectCompute Lecture Series 110- Memory Patterns DirectCompute Lecture Series 120- Basics of DirectCompute Application Development DirectCompute Lecture Series 210- GPU Optimizations and Performance DirectCompute Lecture Series 230- GPU Accelerated Physics DirectCompute Lecture Series 250- Integration with the Graphics Pipeline Having watched these I recommend them all, but if you only want to watch a few, I suggest #2, #3, #4 and #5. Also, you should download the "WMV (High)" so you can see the code clearly and be able to Ctrl+Shift+G for fast playback… TIP: To subscribe to channel9 GPU content, use this RSS feed. Comments about this post welcome at the original blog.

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  • Thunderbird 16.0.1 filling disk space

    - by Kris
    I'm on Ubuntu 12.04 with Thunderbird 16.0.1 and Kernel 3.6.0-030600rc4-generic. I used Thunderbird for quite a while and never had any problems with it. But now it seems to fill up my disk space very fast: watch -n 1 df -h . so Ubuntu started giving out warnings. First I removed some files but not much later it had filled up around 600 MB. It eats around 50 MB/min while I just download 10 emails or so via IMAP. This behaviour is new and seems to be some kind of bug. I don't want to delete my old mails, so what else could I do?

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  • Video: Telerik Silverlight Chart showing live data from SharePoint 2010

    - by Sahil Malik
    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). In this video, I demonstrate  - The process of writing, authoring, deploying, configuring, and debugging a Custom WCF service in SharePoint 2010 Integrating it with the Telerik Silverlight RAD Chart, that shows live data from the server showing CPU Usage of your web front end – can be enhanced to show whatever else you want. Doing all this in Visual Studio 2010, how you’d put your project together, how do you go about diagnosing it, debugging it – the whole bit. The whole presentation is about 45 mins, and it’s mostly all code, so plenty of juicy stuff here! At the end of this, you have a pretty sexy app running .. just fast forward to the end of the video below, and you’ll see what I’m talking about. :) You can watch the video here Comment on the article ....

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  • Ubuntu 12.04 doesn't start after installing with LiveUSB

    - by Kevin Arutyunyan
    I need help! I installed Ubuntu with my LiveUSB, and it said restart to use your system, so I restarted. Now I am just stuck in a completely black screen with a blinking _ I'm already waiting 10 minutes for something to happen, but there's nothing. I don't know what the problem could be, but maybe the message I got during installation that said 'APT couldn't be configured, so no additional apps will be installed' was the problem? I'm still waiting.. Fast answers please :) thanks.

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  • SOA Suite HealthCare Integration Architecture

    - by Nitesh Jain
    Oracle SOA Suite for HealthCare integration is an integrated, best-of-breed suite that helps HealthCare organizations rapidly design and assemble, deploy and manage, highly agile and adaptable business applications.It  will help healthcare industry to  reduce operating costs and speeds time-to-market by delivering a consistent user interface, management console and monitoring environment, as well as healthcare libraries and templates for healthcare customer projects.Oracle SOA Suite for healthcare integration is fully configurable and extensible, providing a highly flexible platform for collaboration across all healthcare domains.Healthcare message standards support:    Messaging standards - HL7, HIPAA, Custom , X12N    Exchange standards - MLLP (v1.0, v2.0), TCP/IP, File, FTP, SFTP, JMSSimplified dashboards and customized reports helps users to advanced monitoring capabilities that support end-to-end healthcare message tracking.A toolkit for rapid HIPAA 5010 upgrade and compliance provides pre-defined healthcare integration mapping for HIPAA standards that is fully customizable and extensible.MLLP-HA helps easily failover and disaster recovery which makes system running on the long time without any issue.Audit keeps track of all the system changes. Alert and notification (SMS,Email etc) helps user to take the fast action and gives tracking on the real-time.

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  • WidgetBlock Speeds Up Browsing by Removing Social Media Widgets

    - by Jason Fitzpatrick
    Chrome: If you’re tired of web pages cluttered with social media buttons, WidgetBlock bans the buttons and speeds up the load time of web pages in the process. Even on a snappy internet connection you’ve likely noticed, thanks to the deluge of social media buttons loading in the background, a noticeable lag on popular web sites. WidgetBlock blocks widgets from loading (just like popular ad blocking software blocks ads from loading). The above screenshot, taken from a popular media site, shows just how much screen real estate is taken up by social media widgets. Installing WidgetBlock banishes the social media widgets and speeds load time. Hit up the link below to grab a free copy. WidgetBlock [Chrome Web Store] HTG Explains: When Do You Need to Update Your Drivers? How to Make the Kindle Fire Silk Browser *Actually* Fast! Amazon’s New Kindle Fire Tablet: the How-To Geek Review

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  • Roll Your Own Hologram with DIY Holography Kit

    - by Jason Fitzpatrick
    If you’re looking for a DIY project with a 1980s theme, this create-your-own hologram kit is your ticket to 3D greatness. Over at Make magazine they’ve put together a tutorial for creating your own holograms using the DIY holographic kit featured in the Maker Shed–Make’s storefront for DIYers. The kit is $99; certainly not pocket change but on par with other holography kits on the market and even a bit generous with the inclusion of 20 sheets of holographic film. Check out the video above to see how easy it is to capture small objects on the film and create your own holograms. How-To: Holography [Make] How to See What Web Sites Your Computer is Secretly Connecting To HTG Explains: When Do You Need to Update Your Drivers? How to Make the Kindle Fire Silk Browser *Actually* Fast!

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  • Python library for scripting (C++ integration)

    - by Edward83
    Please advise me good wrapper/library for python. I need to implement simple scripting in c++ app; Under "good" I mean pretty understandable, well documented, no memory leaking, fast. For creating base interface of GameObject on Python and C++; Your own experience and useful links will be nice!!! I found link about it, but I need more specific within gamedev context. What combinations of libraries you used for python integration into c++? For example about ogre-python it said built using Py++ and Boost.Python library And one more question, maybe someone of you know how Python was integrated into BigWorld engine (it's own port or some library)? Thank you!!!

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  • Partner Webcast – Weblogic for Developers - 12 July 2012

    - by Thanos
    Oracle Weblogic Server is the industry’s leading application server for deploying Java EE applications with support for new features for lowering cost of operations, improving performance and enhancing scalability. But it’s also a great choice for the Java developers because of the differentiating capabilities that facilitate integration with other tools and frameworks, promote reusability and rapid redeployment of your applications. During the webinar we’re going to explore these differentiation features in more detail. Agenda: Java EE standards support in different Weblogic Server versions Weblogic  Classloading How Weblogic load the classes Filtering classloader Shared libraries Classloader Analisys Tool Spring support in Weblogic Weblogic integration with Apache Maven Advanced deployment features Fast Swap Side by Side deployment Q&A session Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Duration: 1 hour Register Now! For any questions please contact us at [email protected] Visit regularly our ISV Migration Center blog Or Follow us @oracleimc to learn more on Oracle Technologies as well as upcoming partner webcasts and events.

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  • Ubuntu Lagging even LXDE freezes

    - by Anas Ismail Khan
    Laptop, i3, Ram: 2GB. Using 14.04LTS... and it lags like hell. Even if i open more than 4 tabs in Chrome, it freezes, and often I have no choice but to restart and multi-tasking is kinda difficult and at times impossible. Now there's whole thing about Lubuntu and LXDE that are suposed to be super-fast.. installed LXDE.. mind, not lubuntu-desktop. just LXDE. And it too freezes every now and then, and trust this.. when it freezes, it does so worse than Unity.. ESPECIALLY when i start PCManFM... and mount a disk or two... Any ideas as to why this is happening.. The minimum requirements for Unity are supposed to be 1Gig RAM.. and people are running it fine even on 512 MB...

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  • Ask the Readers: Favorite Deal App?

    - by Jason Fitzpatrick
    Black Friday is mere days away and the holiday shopping season is upon us. This week we want to hear about your favorite deals apps—how do you find the best deals on the go? The parameters for this week’s Ask the Readers question are pretty straight forward: we want to hear about your favorite deal finding/deal comparison smart phone app. Whether it’s for Android, iOS, or a web site with a very cleanly formatted mobile interface, we want to hear about how you score serious deals out in the field. How do you know if the deal you see in the store is the best deal? Sound off in the comments with your favorite deal app and then check in on Friday for the What You Said roundup. How to See What Web Sites Your Computer is Secretly Connecting To HTG Explains: When Do You Need to Update Your Drivers? How to Make the Kindle Fire Silk Browser *Actually* Fast!

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  • Impact of Truncate or Drop Table When Flashback Database is Enabled

    - by alejandro.vargas
    Recently I was working on a VLDB on the implementation of a disaster recovery environment configured with data guard physical standby and fast start failover. One of the questions that come up was about the overhead of truncating and dropping tables. There are daily jobs on the database that truncate extremely large partitions, and as note 565535.1 explains, we knew there is an overhead for these operations. But the information on the note was not clear enough, we the additional information I've got from Senior Oracle colleagues I did compile this document "Impact of Truncate or Drop Table When Flashback Database is Enabled" that further explain the case

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  • Linked List is now Patented?

    - by John Isaiah Carmona
    Linked list Ming-Jen Wang Patent number: 7028023 Filing date: Sep 26, 2002 Issue date: Apr 11, 2006 Application number: 10/260,471 A computerized list is provided with auxiliary pointers for traversing the list in different sequences. One or more auxiliary pointers enable a fast, sequential traversal of the list with a minimum of computational time. Such lists may be used in any application where lists may be reordered for various purposes. Does this mean that I need to acquire permission before using a linked list in my codes? What about the codes I write from my previous apps that uses a linked list? What about the framework that implements the linked list?

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  • Webcast - Social BPM: Integrating Enterprise 2.0 with Business Applications

    - by peggy.chen
    In today's fast-paced marketplace, successful companies rely on agile business processes and collaborative work environments to stay ahead of the competition. By making your application-based business processes visible, shareable, and flexible through dynamic, process-aware user interfaces, you can ensure that your team's best ideas are heard-and implemented quickly. Join us for this complimentary live Webcast and learn how Oracle's business process management (BPM) solution with integrated Enterprise 2.0 capabilities will enable your team to: Embed ad hoc collaboration into your structured processes and gain a unified view of enterprise information-across business functions-for effective and efficient decision-making Reach out to an expanded network for expert input in resolving exceptions in business workflows Add social feedback loops to your enterprise applications and continuously improve business processes Join us for this LIVE Webcast tomorrow as we discuss how business process management with integrated Enterprise 2.0 collaboration improves business responsiveness and enhances overall enterprise productivity. Take your business to the next level with a unified solution that fosters process-based collaboration between employees, partners, and customers. Register for the webcast now!

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  • Will my current page layout get me penalized for duplicate content?

    - by Perry Roper
    I am using WordPress and in my post sidebar I have related posts which may be of interest to the user, however, I also have an excerpt of each article which is normally the first paragraph of the post it is linking to. For example: http://musicdune.com/reviews/album-review-ellie-goulding-lights If you do a Google Search for the first excerpt in the realted posts section from that page you get 4-5 results from my domain, http://www.google.co.uk/search?sourceid=chrome&ie=UTF-8&q=Strip+back+the+synths,+fast+beats+and+the+other+pop+elements,+and+you%E2%80%99re+left+with+something+elegant+and+soulful Is it recommended that I remove the excerpt from the related posts?

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  • When does a game idea cross the line between homage/parody to ripoff?

    - by Daniel T.
    I'm not sure where this question belongs, but as it pertains to the development of a game idea, I figured I'd try to post it here. Recently I've been inspired to create a game based on another game I've played. However, the idea that I have is very similar to the original game. I was wondering, when does a game idea cross from being a homage or parody into the realm of being a ripoff? Are there any hard or fast rules or does this cross into a gray area?

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