I understand that you are being taught java, and I am sure there are a lot of java developer job opening. But I have to tell you, as a software development company owner we stay as far away from java as possible and prefer to code everything in C#. Since we along with a majority of corporate business prefer and operate with the Microsoft platform (flame bate?). And even if we are required to write in a Ninux platform we would be using Mono (pretty much C# on Unix).

Other than that I also would agree with a below poster that learning SQL, even if rudimentary, would be of great importance.

All is not lost, java is an decent introduction into C#, and IMHO and easier language too.

http://www.microvision.com/ has been doing this for years with their Nomad displays.

Who ever thinks that prime numbers are random are insane. Prime numbers are simple to discover, and IMHO need to be a number base (1=1, 2=3, 3=5, 4=7, ...) on their own.

Primes by definition are numbers not covered in a repeating sequence. So to identity them in number line:
Make N the last prime, remove every Nth whole number, then the first remaining number is the next prime. continue.

[example]
remove every 2 entry then the first remaining number, and next prime is 3.
remove every 3 entry then the first remaining number, and next prime is 5.
remove every 5 entry then the first remaining number, and next prime is 7.
remove every 7 entry then the first remaining number, and next prime is 11.
remove every 11 entry then the first remaining number, and next prime is 13.

I have theorized (just a simple man) that primes could be identified by:

• Using a compounding light wave and identifying the lowest intensity frequencies
• A cross bar chip cdeveloped using nano scale lines to identify a number as its prime components, up to some limit.

I am actually working on an neural processor. It is primarily, a platform for developing neural applications as appose to an application itself. Similar to how a database provides middle ware functionality. And temporarily coined Neurox.

Neurox is subdivided into two parts:
Firstly a database where neurons have position and are allowed to move or create new connections (plasticity) in a more permanent manner. This can be a slower process. And secondly a processing node, or cluster of nodes, Where a slice of the stored network is processed. Certain optimizations can be made because of the importance of distance or time of travel, rather than cartesian location. Just the lengths between connection, and there fore travel time is needed for processing, 3d coordinates are not required. A fully parallel environment must also be provided where all interactions occur at once. Otherwise certain critical behaviors will not occur, such as: cyclic interactions, which will spiral to there death. A simple method is used to provide the parallelism, similar to cellular automata processors. A derivative of time is taken: all objects have a before-state and after-state, evaluations are made based on before-state, and results are stored in after-state, when a series of evaluations have completed then after-state becomes before-state and the cycle is repeated. Derived time has advanced.

• Systems Required:
• Parallel processing
• Plasticity in neuron locations, connection and strengths
• Point to Point, as well as spacial communications. Synapse(point-to-point) and aquas(spatial)communications irrespectively.
• Source of neural stimulations
• Externally defined neuron behavior. with system provided storage and thread space.

-- Not dedicated to it. last posting is sorta old, also developed a extremely small footprint xml like processor called XOL(extensible out-of-band language) for the processing side (uses out of band data instead on in-band like xml): http://sourceforge.net/projects/neurox/

Sky Morey
moreys@digitalev.com
Digital Evolution Group
Overland Park, KS 66210