Pentop Computing Is More Than A Kids' Toy

Do you interest in a pen which combine a lot of functions inside. And it works like a small AI device and let’s go and see what it can do:
The Fly Pentop Computer depends on a number of technologies to do its thing. Most of these are inside the computer itself. The Fly uses technology from the Anoto Group AB in Sweden, a spin-off from telecommunications giant Ericsson. Anoto doesn't manufacture hardware, rather owns and licenses the specs for pen-based computer pattern recognition hardware. It also licenses the software required for pen-based computer pattern recognition. Anoto licensees who plan to produce products must see to it that required pattern recognition hardware is produced and integrated with Anoto's software. Licensees must also create or purchase hardware and software to support specific functions to be included in their pen-based computers.
The figure below is a slightly modified diagram from Anoto that shows how the technology works. Note that the Fly PenTop doesn't come with a cap as the diagram shows. Rather, the top of the device has a receptacle for plug-in application cartridges (see below). Aside from the top of the pen, the diagram is a pretty good representation of the Anoto technology as implemented by LeapFrog. Follow along on the diagram as I explain what's up inside and outside of a Fly computer.

Pattern recognize technology in stock market

FX Solutions' industry-leading Charting Package may be a useful thing for those people who are interested in stock market. It using pattern recognizes technology to make a chart and how it work is in below:
Charting with Pattern Recognition
FX Solutions' industry-leading Charting Package provides Pattern Recognition, which identifies common market patterns, such as Three White Soldiers and Inverted Hammers, based on the trader's selection. The identified patterns help the trader to better recognize potential trading opportunities.The Charting Package also allows traders to trade directly from the charts; the Buy/Sell toolbar has real-time prices.
Multiple Stops and Limits
The GTS platform includes an exclusive feature - the ability to attach up to five stop loss and limit orders to each trade. This feature is a key risk management tool. As an example, traders with a 10 lot position can leave 5 orders for 2 lots each.

A new way to help computers recognize patterns

Aleix Martinez, assistant professor of electrical and computer engineering at Ohio State, explained what all these areas of research have in common: pattern recognition.

He designs computer algorithms to replicate human vision, so he studies the patterns in shape and color that help us recognize objects, from apples to friendly faces. But much of today's research in other areas comes down to finding patterns in data -- identifying the common factors among people who develop a certain disease, for example.
In fact, the majority of pattern recognition algorithms in science and engineering today are derived from the same basic equation and employ the same methods, collectively called linear feature extraction, Martinez said.

But the typical methods don't always give researchers the answers they want. That's why Martinez has developed a fast and easy test to find out in advance which algorithms are best in a particular circumstance. "You can spend hours or weeks exploring a particular method, just to find out that it doesn't work," he said. "Or you could use our test and find out right away if you shouldn't waste your time with a particular approach." The research grew out of the frustration that Martinez and his colleagues felt in the university's Computational Biology and Cognitive Science Laboratory, when linear algorithms worked well in some applications, but not others.
reference:http://www.physorg.com/news10223.html

Pattern Recognition Versus Recall

Human memory is incredibly bad. In fact, it is so bad that you probably don’t remember what you ate for breakfast just a few days ago. The interesting thing is that human brainpower is pretty impressive; we are outstanding at pattern matching and problem solving. Memory has everything to do with search.
You often search because you have poor memory. But, it isn’t so poor that you are a blank slate, tabula rasa. No, instead, you have a clue and you are buying more clues with every search you do. Let’s cut to the core of this.
Your ability to pattern match and recognize is outstanding, but your ability to dredge up old memories is awful. This is recognition versus recall at work.
Put into a simple example, you are great with faces but you just can’t remember names. Which face? Any face! By the way, you aren’t special or unique. You are like every other human on the planet. You are better with faces than names.
Why?
Show Me and Don’t Make Me Think!
The answer is simple. When you see a face you match it against what you know. You are matching patterns. You are capitalizing on your ability to recognize faces. But, you can’t remember names because you have poor recall. You can’t dredge up the name that goes with that face. Recognition in this case is a face-to-face matching exercise. Folks, that is pretty easy.

SDK Technology

Sophisticated Algorithm Provides Versatile and Accurate Recognition Using Still or Video Images from a Wide Variety of Cameras Vilnius, Lithuania - June 4, 2007 - Neurotechnologija, a company widely recognized for their high-precision biometric identification technologies, today announced their entry into the AI and Robotics market with the introduction of the new SentiSight Software Development Kit (SDK) object recognition technology. This technology will be using in AI product and intelligence robots. Designed for the development of computer-based vision systems, the SentiSight algorithm provides versatile, fast and accurate 2D and 3D object recognition for use in a wide variety of applications, including image search engines, security systems, manufacturing and robot and machine vision. SentiSight object recognition technology is tolerant to object scale, rotation and pose and works with still and video images from most digital cameras, including Webcams. It can process video streams in real time, enabling its use in real-time applications such as autonomous robot navigation, parts identification on an assembly line or road sign recognition in a moving vehicle.
SentiSight SDK enables fully automatic and manual object learning as well as simultaneous multiple object detection and recognition. Using a live camera, series of still images or video, SentiSight first learns an object by extracting specific features or descriptors of the object from different sides, distances from the camera and angles of view. This enables SentiSight to develop a 2D or 3D object model that can be stored (e.g. in a database). When that same object is later presented in a photograph, video, on the Web or from a real-time live video camera, the SentiSight algorithm compares the new images to the existing object model, recognizes the object and outputs the object's name and coordinates.

http://www.neurotechnologija.com/sentisight.html.

Unusual Fish---species of Pseudoplatystoma

A revision of the South American tiger shovelnose catfish genus Pseudoplatystoma recognizes eight valid species.In the revision, which is published inthe most recent issue of the journal Zootaxa, Uriel Buitrago-Suárez and Brooks Burr recognize eight valid species of Pseudoplatystoma, of which three are described as new: P. corruscans, P. fasciatum, P. magdaleniatum, P. metaense, P. orinocoense, P. punctifer, P. reticulatum, and P. tigrinum.The authors examined a large number of specimens from throughout South America and revalidated two species (P. punctifer and P. reticulatum) in addition to describing three new species (P. magdaleniatum, P. metaense and P. orinocoense). The eight species are distinguished from each other by colour pattern and differences in bone structure.The exact number of species out of these eight imported for the aquarium trade is unknown since the large majority of the fish imported for the trade are very young fish that are difficult to identify with certainty. According to the authors: “...slight pattern and shape differences may indicate that more than one species is imported.”

Pseudoplatystoma corruscans
Pseudoplatystoma corruscans is known from the Paraná and São Francisco rivers in Argentina, Brazil, Paraguay and Uruguay. It is distinguished from congeners in having the sides of the body covered with large spots distributed regularly in six to eight rows and four to thirteen pale vertical bars. Other distinguishing characters include: adipose fin with 5–10 or no spots, caudal fin with few spots, 44–47 vertebrae and surrounding region of both dorsal and ventral procurrent caudal rays with no spots.The maximum recorded size of this species is 1140 mm TL.

This just one type of that species of Pseudoplatystoma, do you get interest in fishes

more information please click and you can share your hobby in comments TQ:

http://www.practicalfishkeeping.co.uk/pfk/pages/item.php?news=1291

Why A Journal for Patterns Recognised?

Put your fingers on your closed eyelids and press gently: you can 'see' in the dark. We can look at a stone or a wall and observe what Leonardo da Vinci described as: "several things like landscapes, battles, clouds, uncommon attitudes, humorous faces, draperies, &c. Out of this confused mass of objects, the mind will be furnished with abundance of designs and subjects perfectly new". Pattern recognition is a subject of huge importance. Nobody is sure how big exactly. Our minds are constantly involved in the unintentional bringing forth of patterns, even, as the sensory deprivation tank shows, without stimulus. It was Samuel Taylor Coleridge who famously identified this ability to make something out of nothing as the source behind 'imagination' as opposed to mere 'fancy'; a distinction between copying existing patterns a little different and recognizing entirely new ones.

By repairing and augmenting the senses, man has always sought to create new tools to improve the ability to recognise patterns. Science introduced spectacles, telescopes, microscopes, x-rays. and statistics are scientific examples of such tools; altered states, dream interpretation, automatism, the cut-up and the dream machine are just a small collection of fringe methods to recognise patterns different.