Q-USDTM. Modeled on nature
Nature already knows how to deal with big data
Over millions of years, nature gained numerous blueprints of evolution. A tremendously big set of data! But nature has learned to handle it – by merging all information in one system: the DNA code. And by analyzing this code proactively – in order to correct failures or improve achievements in terms of new inventions.
Our Q-USD: QLAYM UNSUPERVISED SOLUTION DISCOVERYTM technology is modeled on this idea.
20 years ago, the founders of QLAYM decided to adapt nature’s rules for handling the complexity of biology to handle the complexity of exponentially growing data.
Our technology has its roots in Manfred Eigen’s algorithmic explanation of molecular evolution. Today, Q-USDTM efficiently extracts systematics which predict targets of interest from any kind of complex data. How can that be?
Like nature makes use of all potential tools for improvement, Q-USDTM can (in principle) apply all algorithmic tools.
Nature builds an incredible array of proteins using just 20 amino acids – a tiny fraction of all chemical components. Likewise, Q‑USDTM uses a set of basic algorithms to build intricate networks.
Like nature is able to use imperfect genetic information, Q-USDTM is able to act on non perfect data files by handling missing data intelligently. This enhances the potential of identification and elimination of noise and correction of errors.
But the biggest step to the success of Q-USDTM was to understand that data can act as algorithms – and algorithms as data. Again, no surprise to biologists. They long since learned, that the DNA and its “little brother” RNA (means, the data) can have functions – and on the other hand, proteins can be self-replicating.
This leads to a technology that uses big data as a source for systematic improvement. Modeled on nature’s millions of years of experience.