IBM Develops Artificial Neurons

Dr. Joseph P. Farrell
August 11, 2016

Yes, you read that headline title correctly. IBM is claiming to have developed an artificial neuron, that can “learn” on its own, and here’s the clincher, it does so not by processing digital information, but rather, analogue information, and the result is, more processing power can be crammed into a tiny space than is possible with the digital equivalent. Here’s the article that many of you sent this week:

IBM Creates Artificial Neurons That Learn By Themselves

The artificial neurons were made using special materials called phase-change materials, which form the basis of re-writable Blu-ray discs. However, the artificial neurons do not store digital information; they are analog, just like the synapses and neurons in our biological brain.

“We used the so-called phase-change nanoscale devices to emulate how the neurons in the brain operate,” co-author Abu Sebastian from IBM Research tells Newsweek. “The whole idea is that by realizing neurons and synapses using these nanoscale devices, we can actually bring down the size of the processor.

But there’s a “tiny” catch here, beyond the obvious implications that such a technology has for the creation of artificial intelligence, and I hope you put all this into the context of that “neural smart dust” I blogged about earlier this week, and also into the context of my speculations over three years about “hidden systems of finance” and “high frequency trading algorithms,” for imagine if such a technology were coupled to such programs. Indeed, the article itself suggests just this possibility:

The artificial neurons could also detect patterns in financial transactions to find discrepancies or use data from social media to discover new cultural trends in real time.

Imagine, similarly, the use of such technologies in politics, polling, and so on, as well as in financial trading. Its ability to predict and anticipate trends would be a financial godsend, particularly to financial actors whose very business is such prediction, from the commodities and currency speculators, to central banks.

Now let’s indulge in our high octane speculation. Imagine such a technology coupled, say, to the latest upgrade in a software program like PROMIS, the infamous Inslaw software designed to track all sorts of data, regardless of what computer language it was coded in, in real time. The predictive capability could then be wedded to various “intervention” algorithms to buy or sell this or that commodity, stock, or currency, or to choke off a pending activity in any area, or, worse, to recommend military interventions, police actions, and so on. Consider only the spate of movies in recent years addressing precisely such subjects.  The trouble is, I suspect we’re already looking at such technologies in action: stock and commodities markets seem to live in a surreal world of their own, disconnected from real human activity and production. Military interventions are launched that make no sense, even from military points of view, to the extent that one wonders if the insane people running the west as the same insane people programming the super-computers that “model” situations for them and propose “solutions.”

So where’s the high octane speculation here? Indeed, I’ve said all the above before. But now imagine…[Bold & Italics emphasis added throughout]

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Joseph P. Farrell has a doctorate in patristics from the University of Oxford, and pursues research in physics, alternative history and science, and “strange stuff”. His book The Giza DeathStar, for which the Giza Community is named, was published in the spring of 2002, and was his first venture into “alternative history and science”.

The Transhumanist Scrapbook – Biotech Company Merges Artificial Neuron…

Dr. Joseph P. Farrell
March 16, 2016

With all the transhumanist talk about downloading and uploading memories, and the growth of concerns about artificial intelligence, it was bound to happen sooner or later: Whitley Strieber’s Unknown Country website is reporting that a biotech company has now constructed a simple computer using artificial neurons, in this article brought to our attention by Mr. V.K.:

A Biotech Company is using Human Neurons to Build Powerful Computers

The reasoning behind the move is clear:

The 100 billion neurons that make up the average human brain represents more than 40 petaflops of processing power — roughly 500,000 times the power of a typical iPad — and is far more energy efficient than our current technology: The world’s most powerful supercomputer, China’s Tianhe-2, has nearly the processing power of the human brain, but uses 24 megawatts of power, as compared to the mere 10 watts that the human brain requires.

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