One of the central concepts behind the film series? Terminator? is the Cyberdyne Corporation, which developed the self-confident Skynet system.
The basic technology was developed by a computer scientist (Miles Dyson) who based his work on a broken computer chip, a remnant of the brain of the first Terminator (played by Arnold Schwarzenegger), which in the final scenes was crushed in a hydraulic factory press by Terminator 1.
Miles Dyson said of the chip: "It was a radical design, ideas we never thought of ..."
Australian company Brain Chip Holdings (BRN: ASX), listed on the ASX, is about to launch the first of a series of chips that support brain-like neuronal processing that is likely to change the world.
This could be a skynet moment.
I recently commented that the pace of innovation has slowed and that there have been no new? Pioneering? Technologies were more developed.
With the market launch of Brain Chip Holdings (BRN: ASX), however, the first practical neuromorphic? System on a chip? launched on the market - that will change soon.
Your new chip (the first in line to be launched) has a target price of $ 10 and will use very little power, making embedded AI applications marginally real.
"The Edge" is a term that describes devices that are connected to the real world - such as face and object recognition cameras and other sensors. In contrast to the computing power in server farms "in the cloud".
The chip supports brain-like learning at high speed and enables the development of self-learning systems that use pattern recognition in real time with a power consumption of less than 1 watt.
Akida - The world's first AI system on a chip
Akida? by BrainChip is a revolutionary advanced neural network processor that marginalizes artificial intelligence in a way that existing technologies cannot.
This is the missing link for the development of truly autonomous human robots.
Humanoid robots are only one of thousands of potential applications, but probably not with first generation chips.
BrainChip identified the first and obvious applications of this new technology on their website, but God knows what will come out of user innovations.
As a moment in the history of technological achievements, could the launch of Akida? compared to the introduction of the Intel 8008 microprocessor in 1972, the first 8-bit CPU that spawned the development of a new generation of desktop computing, embedded device control, industry 3.0 automation, and the ubiquity of the Internet.
Almost forty years later, we know how it turned out.
The groundbreaking importance of BrainChip's work cannot be overstated.
Radical architecture
The really radical aspect of the neuromorphic chip is that conventional computer systems process data in a completely different way that useful AI can only support through raw violence, i.e. H. High performance large computers.
Brainchip argued that the human brain supports massive AI in a small space and with very low power consumption. Their approach was to examine how the human brain achieved this in a systemic and structural sense, and to design their chip based on their findings.
The result is a practical chip that is applicable to others and mimics the neural and synaptic architecture as well as the organic self-organization of the human brain.
The chip contains all the elements required to connect conventional digital systems to the neuromorphic memory and supports programming in existing languages. In this way, a? System on a chip? instead of an uncomfortable standalone neuromorphic matrix that engineers may scratch their heads to find out what to do with.
With a target price of around USD 10 per chip, the costs for tinkering with the new technology are very affordable, as is the later use in large-scale tools during manufacture.
BrainChip announced on July 2, 2020 that the first Akida? Chip silicon wafers have been successfully manufactured and the company is moving towards internal testing and evaluation of the first devices. In anticipation of the need for further development, the new chips are not far from commercial release.
The world will change quickly.
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22.07.20 14:22
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