Paul Hoff's EasyBlog

Click the link for the full article.

Pretty important trend here. I have tried Ustream from the iphone and it works a treat. But imagine what this would do to the mobile network if it takes off. If the iphone wasn't already wrecking havock with the carriers net, add UPSTREAM video and you have quite a problem.

Also the whole idea of connecting people to the meaningful video (partially solved by youtube) which will require more location based searching.

Anyway interesting trend.

Paul

Quotes:

Apple’s Next Media Frontier Will Be Streaming Video | Gadget Lab | Wired.com

• building a 500,000 square-foot data center in North Carolina, which could provide the massive bandwidth required for ubiquitous streaming video
  • approval this week of iPhone apps with live video-streaming capability.
    • September iPod event, Jobs made it clear Apple was entering the consumer video market.
      • what’s the big deal if you put live-video capability in a phone? You can carry it everywhere and broadcast live from anywhere, and that opens a whole new world of applications for the technology. John Ham, co-founder of video-streaming startup Ustream, predicts live video will give birth to a new world of citizen journalists.
        • Knocking Live Video, an app that broadcasts live video between iPhones, said anywhere-video broadcasting is the evolution of Twitter.
          • pple is working with Lala’s engineers to revamp iTunes into a streaming music service that lets users buy and listen to music through a web browser.
            • makes Apple software the potential hub for personal media, something that is poised to explode in the next 2-3 years,

See Eureqa, a tool that is letting the "unwashed masses" benefit from genetic algorythms.  Getting some press.

Makes me think about the promise of Elefant opening up SML to a wider group.  Maybe a good example?

Click link for more info.

Paul

Quotes:

Eureqa | Cornell Computational Synthesis Laboratory

• Eureqa is a software tool for
  detecting equations and hidden mathematical relationships in your data. Its
  primary goal is to identify the simplest mathematical formulas which could
  describe the underlying mechanisms that produced the data. Eureqa is free to
  download and use. Below you will find the downloadable program, video tutorial,
  user forum, and other and reference materials.

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My highlights below, click link for full article.

Cheers,

Paul

Quotes:

Unimagined capabilities in pipeline | Australian IT

• PHIL Fawcett is principal research program manager for Microsoft Research
  • $US8 billion ($9.3bn) R&D budget.
    • 850 researchers
      • top people in the world
        • We define that by getting published in top conferences, say CHI or Siggraph, something with a 5 to 8 per cent acceptance rate.
          • 40 to 50 per cent of our papers into those conferences
            • six research labs: one in Beijing, one in Bangalore, one in Cambridge in Britain, one at MIT, Boston, one in Silicon Valley and one at Redmond.
              • 55 areas of computer science and some projects are very near-term like how do you create better compilers, how do you create new languages like F-Sharp or better bug prediction algorithms.
                • make a better connection between the product groups.
                  • allow researchers to drive their own research agendas.
                    • five to 10 people but they are the top people in their field.
                      • one of them is the software development engineer and their job is to create prototypes. They are the internal translator.
                        • around half the ideas but people have this perception about tech transfer that it is a one-to-one ratio and it isn't.
                          • real measure of a tech transfer is whether you had a feature set that didn't have the idea in it and the researcher came along and said this is a new way to look at the world and the idea got in there.
                            • we have other ways of taking our research and getting it productised. One method is to embed researchers inside product groups. Another is we take ideas that may or may not get taken up by product groups and we license them to venture capitalists.
                              • The power is bringing together computer science with another discipline.
                                • Another project is situated interaction. It has 50 kinds of sensors. We use it for an automated receptionist where we create a synthesised human being with a microphone array and face recognition, clothing recognition and voice pattern recognition.
                                  Computationally five years ago I couldn't run all those systems at the same time. Now it just takes an eight processor system with 32GB of RAM

Check out the article.

Paul

Quotes:

Apple Patents Reveal Object-Face Detection, Smart Messaging, Voice Modulcation might be coming to iPhone - iPhone Hacks

• This patent application talks about the ability to control a personal computing device based on user face detection and recognition techniques. The device will be able to associate one or more faces with the authorized user of the device.

Might be interesting for you?

Paul

Quotes:

:: International Checkout :: Delivering products from America to your doorstep, worldwide ::

David,

This sounds a lot like what you have been advocating. Click the link for the full article. Interesting in their:
1) Choice of Mysql as base platform,
2) A hardware/SW solution.

Regards,

Paul

Quotes:

untitled

• Kickfire: Data Analytics for the Masses
  • Vendors are predominately chasing big data, with battles lines being drawn by solution providers that cater to between roughly 100 TB and 10 PB data sets
    • the rest of us are more likely to deal with analytic data sets in the 50 GB to 3 TB range.
      • Kickfire is interesting because it has decided to let the other vendors fight it out for the massive data volumes. Instead, it has focused on a relatively untapped segment: the MySQL database market or, more correctly, the market that MySQL serves.
        • like many transaction-oriented databases, MySQL doesn't perform very well when you run analytics-style queries, even on mid-sized data sets. Customers often find that running complex ad-hoc queries that aggregate data across many rows is very time-consuming, and the lack of certain features, such as query parallelism, diminishes MySQL's appeal.
          • Kickfire's solution is to use MySQL as the base, because this gives its customers the ability to easily migrate to Kickfire but replace MySQL's storage engine with their own column store engine. Under the covers, the column store structures data based on the columns in a table, rather than the traditional method based on rows in a table.
            • column store is also used by Vertica and was popularized by its founder, the well-known database researcher Michael Stonebraker.
              • adding a proprietary "SQL Chip" co-processor to further enhance its product's performance. Kickfire has replaced the MySQL query optimizer (the component that takes an SQL statement and splits it into a series of operators for processing) to produce operators that can be sent directly to its SQL Chip for processing. So, rather than running these operators on a general-purpose CPU, which has to convert them into a series of regular CPU instructions and then muck around loading the data into registers from memory, the optimizer instead sends them to the SQL Chip, which natively understands them and processes them on data streamed directly from memory.

Click on link for full article.

Quotes:

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