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Extracting Profits From Crypto-Currencies | Running Alpha Opens New Ground in Data-Driven Decision-Making: Introducing AI-Powered Quantum Machines

by efrem on December 12 at 10:41 pm EST | Tags: , , , , , , , ,

Running Alpha is the first AI-Powered Algorithmic Machine Intelligence Framework that was designed from the ground up to:

organically simulate how nature uses quantum computing principles for circumventing the constraints of processing exponentially big chunks of classical data ( visible information ) in real-time.

In-house proprietary technology is used for transforming data into an encrypted superposition of quantum entangled states — each representing the observed event from a unique viewing perspective; independent of human or machine observation.

Adapted from the founder’s U.S. patents on Autonomous Hierarchical Assemblies of Artificial Neural Networks — for giving early warning of tornado outbreaks from 3D atmospheric radar imagery — the parameters underlying the conversion process were discovered.

Up until now, conventional machine intelligence can only learn by example in sequence; and because they require a very large number of past examples to recognize variation and identify change, many of today’s newer data sets of finite length impose a roadblock to innovating data-driven applications.

Even in those situations where the data history is not limited, legacy classical algorithms are unable to leverage the capabilities offered by Running Alpha’s massively-parallel one-shot training process (self-generated), which takes into account gauge symmetries — the unchanging geometric relationships among the viewing perspectives (quantum states) that lead to emergent structure in the real-world; and as such, traditional AI platforms are ill-designed for detecting anomalies in data we have never seen before.

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How Tornado-Hunting Technology Is Helping Traders and Investors Predict the Financial Markets

Running Alpha’s CEO & Founder, Efrem Hoffman was recently Interviewed by Benzinga for an Exclusive NASDAQ.com Feature Article, which was released on May 10th, 2017.

The article showcases how Running Alpha, a Toronto-Based Fintech firm is redefining the meaning of information and unlocking new insights into asymmetric sentiment-biases for building smart portfolios that can hedge-for-a-profit instead of a cost against global market uncertainty and tail-risk volatility events.

Running Alpha’s Flagship products, the Grid 100 TM and Focus 15 TM are featured — specifically how they can help professional / retail traders and investors in their search for Alpha.

The article also gives some background on how Efrem Hoffman, the inventor of a new class of Big Data Machine Intelligence — also called DarkSight Algorithmic Technology TM ( Powered by Bottom-Down Artificial Intelligence TM) —

first used for Tornado-Chasing Atmospheric Radar Imagery of Cloud Droplet Reflectivity Patterns in the Sky, is now being applied for addressing the need for efficiently generating Anxiety-Adjusted Returns TM ( True Alpha ):

through Augmenting Human Portfolio Construction and Intelligently Predicting the Sentiment Jet-Stream of Human Perceptions and Investment Capital in World Financial Markets.

For Full Details of this exclusive NASDAQ article, Click Here

NOTE: “The views and opinions expressed in the article are the views and opinions of the author and do not necessarily reflect those of NASDAQ, Inc.” [NASDAQ.com]

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