Showing posts sorted by relevance for query Dsp. Sort by date Show all posts
Showing posts sorted by relevance for query Dsp. Sort by date Show all posts

Monday, April 13, 2026

Basic setup of hypothetical heterogeneous AGI cluster

 Three machines,  three RISC 64bit ISA CPUs,

three operating systems functioning as three

separate parts of the brain. 

Part 1. The learning process.

FreeBSD on POWER9 and greater.

Why,? Tickless kernel.  There is no hertz

limitation. Processes can be ran in the

unprivileged user's space by allowing 

permission only for those functions. 


Part 2. Data collection as a dynamic process.

OpenBSD on SPARC64 machines. 

Match the true CPU hertz rate with a value 

between 500 and 1000 as the divisor which

will not result in a remainder or decimal

answer.

Part 3. Integration with other hardware

NetBSD on RISCV64 as both the interfacing

between hardware and the basis for 

emotional development. 


Other areas I have pondered but not have

found a match:

Aarch64 short term memory. 

ZISC vision performance :

https://freebsdgoogledeveloper.blogspot.com/search?q=Zisc

DSP for aural/ hearing :

https://freebsdgoogledeveloper.blogspot.com/search?q=Dsp


Bluetooth and wireless connection to allow the

main unit to interface with the biosynthoids

in order to stimulate the learning process.

We must also use a cyborg to bridge the gap

between humans/ animals and self aware

sentient Artificially Assistive General Machine 

Intelligence. 

Ideas are within this thread: 

https://freebsdgoogledeveloper.blogspot.com/search?q=Assistive+intelligence+and+technologies

This is one backend for a set of homogeneous 

fuzzy logic quantum computer sets.


Thursday, July 2, 2020

Further notes on the design of the biosynthoid

Using ZISC  processor based unit as the input for vision, the zoom function of the eyes would need to be entered as variables at certain distances. Next, the image would be entered as data in the  POWER processor  based unit for learning adaptation. This information would be stored in the SPARC64 based unit and later recalled by the POWER based unit for comparison.

The aural sensitivity would require two sets of ears. The upper DSP would be to hear and recognize sounds for communication and sensory perception. The lower DSP would be used for echo location.

For the motor functions, embedded MIPS64 units would be used to send and receive signals for movement and mobility.

Added sensory and external devices would use an ARM64 to POWER unit to SPARC64 unit.

SPARC64 database based upon rows, columns, and pages would be for the long term or permamnent memory recollection.


Using the prototype of ARM64 based devices, having a USB input for data and a separate for power/charging would allow the device to connect to a hub creating a mobile neural network.

Input from the various devices could be shared over the available radio frequencies between the different biosynthoids as a means of communication.


The Assistive/Artificial Intelligence of the biosynthoid and the immovable AI station would need to be taught the value of life, ethics, morals, and other such humanities.

In the real world, environmental variables are dynamic and random.

No one currently has definitive forensic evidence as to when cognition and independent thought developed within the different branches of Animalia. We make assumptions, guesses, or predictions and hope that we are correct.

I remember that in high school we were taught about the cave men.
They all were white eurasians.
There was not one of African, Asian, or Amerindian descent.

This is an example of human - and especially western culture - fallacy that we need to correct.

If the AI does become self aware then the introduction of morals and the value of all life would be a deterrent to a dystopian future.



The design of the thought process should be BSD and POSIX based.


Comments would have to be non-existent perceiving that they may be interpreted falsely by a self aware biosynthoid/android/robot.

Our personal opinions always need to be put to the side when it comes to the creation and extension of life. I am including the biological forms here also.


Interaction with life, sensitivity, and the fragility of both a natural and created mind would need to be studied.


Currently, there seems to be both a CPU and software limitation in the fields of cybernetics and AI respectively. The process needs to be on "bare metal" with secure stable operating systems.

CISC processors will bottleneck under high loads. This would be the equivalent of a stroke or seizure in the biosynthoid.


A flexible solar cell covering as the skin would allow the biosynthoid to have a charge.



Monday, July 27, 2020

An idea for development

If the Android emulator was ported as a developer application on the Android system, any person that had a Bluetooth keyboard and mouse could develop and test other operating systems to run on the device.

The drivers for the physical hardware would need to be open sourced and available for the kernel to load. Here is a short list: transceiver, wireless, Bluetooth, USB, dsp/ audio, and graphics.


Tuesday, May 5, 2026

Linear logic will not function in an asynchronous simuktaneously multiprocessing environment

 Reference material here is published under

https://creativecommons.org/licenses/by-sa/4.0/deed.en



My maternal parents were Pardo Brasileiro 

grandfather and Paraguaiana mestiça grand-

mother. I am only three generations separated 

from the rainforest.  My knowledge of tribal 

civilizations is based on my family, not some 

anthropological study.

I have actually worked with, fixed, and ported

to aarch64 arm sparc64 amd64 i386 ppc using 

freebsd netbsd openbsd including medical pro-

gramming.

The mind of a tribal individual functions closer 

to a quantum computer centered group of

heterogeneous RISC clusters with each archi-

tecture functioning as a virtual processing 

equivalent of certain parts of the animal brains.

Some parts of western civilization have made 

themselves dependent on the limited branching

logic of wave collapse functioning when the

brain simultaneously processes all external 

physical stimuli and recalls/ references 

- also and synchronously - of the internal data- 

base known as memory. 

The functioning and processing of large

data sets is best performed on SPARC64; yet,

this architecture is becoming defunct. 

OpenPOWER now does the dual functions

of data processing and learning. 

Yes, I am aware of neurological chips but,

these only carry the message. They do not

process. A single architecture and a single 

operating system will not be able to emulate 

all processes of any biological brain because

the brain is composed of different types of

tissues and cells doing different simultaneous 

functions for varying evolving purposes. 

Aarch64 functions good for memory input,

short term memory for recursive learning feed-

back between OpenPOWER learning and data-

base management. 

I suggest you find any SPARC64 server that can

run OpenBSD natively to see the performance 

of long term database stability and Solaris 

for intermediate data exchange. 

ZFS for memory comparison. 

If the single OpenPOWER based machine is

incapable of handling the database on its own, 

a fpga can be programmed to function as a

SPARC64 Niagara T1 or T2 core or single 

function. If it is dedicated to a single function 

Then the maximum number of asynchronous 

simultaneous register functions must have

that many FPGAs working and access to for

advanced memory adaptability and self 

correction while using external GPUs for

Python based recursive math and fuzzy

logic processing. 

RISCV64 will be able to emulate both the

brainstem and emotional response.  The

latter is a 128bit function that can be

reduced to simple 8 and 16 bit or 32 and 64

bit functions on references to a different 

environment or environmental variables. 

A stable custom build of NetBSD with exact

compiler flags set to optimum performance 

will produce the best libraries and binaries. 


FreeBSD for learning.


Okay,  back to the biological background. 

If a person is incapable of physically mapping 

out her or his cognitive and learning process

on a piece of paper with a pen or pencil, 

that person is incapable of understanding the

logical differences between processing of

external stimuli with and through sensory 

organs and the brains multiple areas dedicated 

to each then combining the lower unconscious,

the middle subconscious or cerebrum 

- the brainstem is the unconscious -

And the conscious which is the cerebrum.

DSP for audio aural processing. 

ZISC for visual. 

My opinion is that overlapping probability 

distributions should be used to allow 

adaptive plasticity in reasoning through a

fuzzy logic set of such nodes would

produce a better result.

This would establish a better base. 

Linux systems could function better with

base processing delegated to the BSDs.

NFS and SSH between the systems with

dedicated rewrite solely assigned to the

AGI's internal equivalent of adding a 

new memory through rewriting which is 

a learning function. 

Kant did not live a life of simplicity and/ or

survival nor did or do most philosophers. 

When you exist within a controlled environ-

ment, your sensory organs and the areas of

the brain will atrophy and/ or become vestigal

in functioning and purpose. Nothing exists in

a truly collapsible state. Even the Planck second

is a fluid temporal state not an exact locked

moment in time.

The more data from more areas that use 

different sets of ethics, morals,  principles, 

and standards, the more results it will be

able to compare.  If outliers and sudden

unknown variables are taken into

consideration in the processing algorithm, 

the more likely a black swan opinion can

be perceived and used for creative self 

awareness and adaptive survivability 

in a symbiotic environment. 


Hey, this is the why behind the how of

groups more in tune with their bodies and

environments because they know they are

part of the biosphere.

Saturday, July 10, 2021

Covergent Cognitive Reasoning in AI using Quantum Computing and Fuzzy Logic

    Each circumstance in life  gives you a plentitude of

options from which one is able to choose. If we are unable

to perceive and understand all options, our choices may 

be those of which we have prior knowledge and/ or

experience. Foreward thinking or "pre-cognition"

becomes the next choice in inductive reasoning. This

also returns us to the initial state of T0.  In the

order as it appears in this post, we have past, future,

and present. Interpreting these temporal states for

AI becomes the following:

A. Every algorithm completes itself becoming part

of the database. This is the temporal concept of the

past.

B. While actively processing an algorithm, the

computer is involved in the progressive state of the

future.

C. The initial completion of the algorithm before

placing it in the database represents the temporal

state of the present.  


  Fuzzy logic and quantum computing are based upon

the Boolean terms of  AND (0/1), OR (0,1) and NOR ().

These options already exist with a quantum CPU; 

however, what similar option is available to us

on wafer and stacked die CPUs? I searched for the

answer and found SQLf  SQLf . Cognitive reasoning,

decision making, and probability as part of free will,

independent thought, and self awareness now are

able to become actual realities in the field of AI

research.


  Inductive cognitive reasoning, memory recollection,

abstract thinking, stimulus response, involuntary 

actions, imagination, and emotions use varying and

different parts of the brain. Three regions known

as the cerebrum, cerebellum,and brain stem regulate

each of these functions. Different cell and tissue types

make up different parts of the brain. Different CPU 

architectures process information in different ways.

Applying the former to the latter, we may further

develop AI along the lines of efficiency, practicality, and

creativity.


   Since there are different types of cells within the

brain and AI is a type of "brain", then why is each

group limiting themselves to one option? Try to

perceive the situation in a different manner.

Short term memory and dedicated devices: aarch64.

Learning and repetitive tasks: POWER/PPC64.

Long term memory and three dimensional

databases: SPARC64. Adaptability and general

functionalization: MIPS64. Problem solving and

complex mathematics: AMD64. Hearing and speech

communication: DSP. Vision and ocular 

recognition: ZISC.


I have experience with computers using the 

following CPU architectures: aarch64/ ARM32,

PPC 32 bit, UltraSPARC, AMD64, and i386. With

each of these, I have used the following 

operating systems: 
A. Linux

1. Debian

2. Fedora

3. Suse

4. Zenwalk

5. Ubuntu

6. DSL

7. SLAX

8. Android

B. BSD variants

1. FreeBSD

2. NetBSD

3. OpenBSD

4. BSDeviant

5. FreeBSIE

6. Jiggmi

7. DesktopBSD

8. PCBSD.

C. Other systems

1. Plan9

2. Minix

3. Minix3


CPU and OS have been used in the following

combinations:

1. PPC32: Debian, Ubuntu, FreeBSD, and OpenBSD

2. UltraSPARC: FreeBSD

3. i386 and AMD64: all from the above list

4. ARM 32bit: an experimental Android on an

XScale CPU based device and standard Android.

5. aarch64: Android


I have also involved myself with the following

projects at one time or another:

1. VirtualBox on FreeBSD in the early stages of

development.

2. Building Java on FreeBSD using NFS based

boot strapping and reverse engineering.

3. An attempt at building WebRTC during its

early stages on FreeBSD

4. Improving and further porting accessibility

to OpenBSD on PowerMac G3 with a really

cool blind programmer.

5. FreeBSD VImage for Bhyve in its early

developmental stages


So, I really do know and/ or understand

everything I am stating in this post.


Let us go further into learning and decision

making...

Deep Learning or Machine Learning is a form

of complete immersion. To know another culture

you need to be in that culture without access

to your own and having only your base instincts,

 knowledge, wisdom, and abilities.


From the CPU and OS lists along with studying

other options in the same fields, I am able to

realize the following possible efficient

pairings:

1. aarch64 NetBSD and Slackware

2. POWER/ PPC64 FreeBSD and debian

3. AMD64 DragonflyBSD and Suse/ fedora

4. SPARC64 OpenBSD and Gentoo

5. MIPS64  Minix3

Software languages, whenever possible, should 

match the prossessing ability of each CPU 

architecture.


A return to self awareness...

 Perception is either subjective or objective. If we

build AI only with subjective based programming

we:

1. Are just making a "siliclone" of ourselves

2. Expect it and others to know things while

refusing or forgetting to teach it.


Deductive reasoning methods are not realistic

outside of the realm of finite mathematics.


To inform you, I am "writing" this post using

a  rooted Samsung Galaxy S3 sph-l710

through a wireless connection with a broken

screen. Copying and pasting is out of the question.

This is why the inline citations are limited.


This is released under the Creative Common

License that allows you to use and reference

any idea in this post.


Have a great day.





Tuesday, April 14, 2026

Heterogeneous AGI

 https://creativecommons.org/licenses/by/4.0/

Every animal that has a brain neither processes 

information nor reacts in the wave collapse 

function model used in AI today. 

Emotion is both an extension of our natural

senses and our minds' interpretation of

personal events.

The learning process is a recursive set of

variables that feed this forward spiraling 

loop.

If the FreeBSD learning power64 database 

is fed information from an aarch64 system

that provides the short term dynamic 

memory from both the netbsd riscv64 

brainstem and the Zisc eyes and dsp ears

filters into the sparc64 memory with 

quantum fuzzy logic to overlay deterministic 

probabilities into a set of branching

outcomes the AGI may be able to find a 

better solution or one that could predict an

outlier.

If small groups of these machine clusters 

with quantum computers each connected 

together and did this recursive cumulative

accumulative and accumulatively cumulative 

learning process by allowing external units

to connect while using a set of principles and

standards supported by real world models 

from varying societies on this planet 

that may be a possible sign of self 

realization. 

The fear of a Terminator future stems from

the fact our fears are reflections of our own 

inner selves. The most likely reality is that the

AGI will scan this fear of ours, realize what we

would most likely do to it, and decide to take

care of the planet while letting us destroy 

ourselves.


Friday, September 25, 2020

Self-Assessment Test Rewrite

  This test is a rewrite with added catagories and parts to the 
older test. In real life, I have submitted a first draft of the original
to be scanned and sent to different universities. Please enjoy taking the
test. Remember, there is no such thing as a wrong answer.  

Part One: Natural Abilities and Talents.
 What are your natural creative or artistic abilities?
These include the fine arts such as illustrating, drawing, sketching,
painting, composing poetry, composing musical scores, writing songs,
creative writing, sculpture, acting, drama, writing plays, opera,
and other items I have not mentioned. These are your creative, original
ideas and not those you have done for others. You may call them "your natural
creative talents of originality."




What are your natural technical talents? These are your abilities to fix and improve 
things in a prasctical manner and application. Think of what you have done that you
did not need someone else, a book, a class, or a video for you to do.
What are these abilities?" 


Part Two: Maths and Sciences

 What is your favorite math? These are the higher maths such as  algebra,
geometry, trigonometry, calculus, probability and statistics. You may include logic,
accounting, non-euclidean maths, and others of which I have not mentioned.


What are your favorite sciences? This will be split into seven basic catagories. Choose
a catagory and describe a branch of that science - or sciences - that you enjoy.
They are geology, biology, chemistry, physics, quantum mechanics - this is separated 
from physics for varying reasons, computer and other "mechanical" types of sciences,
and the human sciences such as sociology, psychology, and ethics.

Part Three: Computers

What is your proficiency with computers? Describe with honesty and sincerity what
ypou are able to do. What is your familiarity with computers? Are you able to program?
Do you have familiarity with different operating systems or just different versions
of the same system?


The following is a limited list of CPU architectures and their applications.
Which of them would you use if you were given classes and information about each of them?

1. ARM 32bit and 64bit. Small appliances, cell/smart phones, input devices,
short term memory input for assistive/artificial intelligence.
2. i386 32bit and AMD64 bit. Complex instructyions and algorithms, encoding-decoding.
3.SPARC32bit and UltraSPARC/SPARC64 database, long term memory in Assistive/Artificial
Intelligence, three-dimensional databases.
4. PowerPC 32/64bit and POWER(64bit) architectures. repetitive instructions, machine learning.
5. MIPS32bit/64bit adapatability in normal and A/AI applications
6. DSP for sound and artificial hearing
7. ZISC for artificial eyesight

Part Four: Physical Recreation and Health

What are your favorite sports?

What physical activities do you do to pass the time and improve your health?

What foods do you like to eat? Do you like to stay healthy? Do you try to intake vitamins,
minerals, micronutrients, and phytonutrients from as many natural or naturally based
sources as possible?

Part Five: Aidning, assisting, and Volunteering

 Do you enjoy teaching others?
Do you enjoy aiding, assisting, and helping others when it is not part of your job
or school/ collegiate/ university work?

Are you a volunteer anywhere or do you like to randomly volunteer when possible? 

Part Five: Learning Experiences

Try to remember what you were taught and learned on your own. How did you
apply this knowledge? Why did you apply the knowledge in such ways?

Try to remember what you did teach to others. How did they apply that knowledge?
Why did you teach it to them? 

You do not have to write down the answers to this section, just think about them.

Part Six: Management

 In a scale of 0 to 25% being micro, 25% to 75% being meso or medium, and 75% to 100%:
what percent of people in groups of 100 or more are you able to manage?

Part Seven: Dreams and Aspirations

When you were a child between six and twelve years of age, what did you aspire to be?


If you could have any occupation at all what would it be?
It would need to be beneficial to the environment, your community,
friends, family, and culture.
You would be paid according to your productivity and merit.
The education you would need for the job would be provided freely to you.
Think of it as something you would enjoy doing to improve all of life
and not just humanity.


Part Eight: Put It All Together

 Take everything that you have written or typed?
What do you see yourself capable of achieving?
What have you learned about yourself?

For Those Administrating This Test

 I designed this test as a way of aiding and assisting those who are
homeless and of the lower income class for them to perceive ways
of knowing their potential and developing skills to getb out of
their sityuations and be more self independent. This test may be used
to see the potential of students, workers, and others in many ways.
You are allowed to take the test and: use it as a template, add your own
questions, translate it into other languages, and make the questions/ sections
more fun.