Description
We are currently developing a new technology for pattern recognition, with space, time and logic.
Therefore our technology, as well as our company, is called Time based pattern logic.
Our new computer technology is implementing an own design based on our R&D results,
it creates a human alike pattern recognition, represented in an own hardware and software.
This technology stores all its components and results in an own pattern on-chip database,
which has an own integrated, also software driven self-learning mechanism.
In addition, it uses a time based (retrospective) memory with a corresponding logic,
to store, retrieve and use the acquired knowledge via an own self-learning mechanism.
Based on this new technology, we are developing own software based on FPGA-SiPs,
means logic FPGAs containing specialized and self-developed npUs, Neural Processing Units.
Our Tipalo technology enables massively parallel computing with the on-chip memory,
evtl. also with external memory, as it also uses only a very low working frequency.
As a comparison, conventional computing technology uses serial programming with GHz frequency,
as a dedicated CPU/MCU, which is connected to an external memory, such as RAM and NVRAM.
In addition, there are NO biological inspired mechanism, like self-learning or self-assembly,
only some specialized algorithms, for a before well-defined single purpose, as external programs.
“Autonomy and AI are not the exact same thing." This sentence is like a death sentence for the "AI mainstream" and at the same time the basic theorem of cognitive AI as its motto
AI Mainstrean is also known as Alt(ernate) AI, as it uses gigantic amounts of data. Arranging data to fit a pattern is not really intelligence. Even if it has its use as a "software tool" and help users to gain same value, like translation tool or libraries like Wikipedia, it is NOT autonomous. It does nothing on its own, as it is dependent on "somebody else".
In contrast a cognitive AI requires a body hardware with sensors, actors and internal organs. This body is the decisive argument for autonomy, as it enables to do everything on its own.
Next level of autonomy are the use of neural nets only. Not all, only spiking neural nets, which imply that only some neurons are needed for a certain purpose.
Next advantage of autonomy is the software, as synapses between neurons. They can be used as universal format for any purpose, enabling the accumulation of knowledge in the same format.
AUTONOMY+ AI = COGNITIVE AI, it thinks on its own,
due to hardware, software as synapses and the real-time applications as neural nets.
HEURISTIC COMPUTER SCIENCE
"In mathematical optimization and computer science, heuristic (from Greek "I find, discover") is a technique designed for problem solving.
The objective of a heuristic is to produce a solution in a reasonable time frame that is good enough for solving the problem at hand.
Heuristics underlie the whole field of ai and the computer simulation of thinking, as THEY MAY BE USED IN SITUATIONS WHERE THERE ARE NO KNOWN ALGORITHMS."
EPILOGUE
We need a new concept.
MY2CENTS
It is time to achieve the next step, namely #cognitive #edgeai for artificial THINKING to solve our creative & real-time situations.
Replacing:
1. conventional CPUs with systolic arrays https://lnkd.in/eG2RmWpR
2. #software & #algorithms with spiking neural nets https://lnkd.in/ewTvT-xi
3. #computers & #devices with #robots equipped with #sensors, #actuators & organs for "own needs", where
a. its digital brain has an Artificial Nervous System, designed to react in #realtime,
b. while having an #embedded #selflearning mechanism able to:
- memorize information & knowledge
- inferring its own conclusions based on its life #experience,
c. as well as exchanging information with peers as teach them & learn from others.
For more info see.
ALGORITHMS ARE FOR PREDEFINED, REPETITIVE & FULLY KNOWN TASKS -
WHAT ABOUT PROBLEMS WITH LESS KNOWN INFORMATION,
LET ALONE CREATIVE OR INTERACTIVE REAL-TIME SITUATIONS? https://lnkd.in/dgTxvia9
