Engineering Development

We began with epistemology. We extended what was knowable within digital science by introducing a fundamental precept from neural biology. Once this was done, we realized that to make this change meaningful to the industry, we had to produce a range of engineering methodologies. These methodologies had to cover the entire process of digital product development; starting with the design and layout process and ending with testing methodologies and product delivery mechanisms. We accomplished this by using a wide range of existing software tools. And all of it was done without requiring a single change to be made at the foundry. This advance in science/engineering fits perfectly with existing production mechanisms, but also opens up new possibilities in fabrication.

To prove that all of this was viable, we, in 2012, had a major foundry produce a set of test chips. These test chips worked as expected. They confirmed that we were on the right path, including the way we had gone about simulation. We now have a high degree of confidence in the methods we use to predict the behavior of products created in accordance with this new engineering/technology.

Since 2012, we have considered various ways to automate our engineering methodologies. We have also carried out an initial analysis of the applicability of this improvement to digital science. We have found that this new science/engineering/technology has the potential to positively affect all aspects of information systems; ranging from storage and retrieval of data, to communications of data, to the utilization and manipulation of data. Our early metrics indicate a very large reduction in the size of the circuitry needed to do complex computations, with a corresponding improvement in speed and power.

Working from this base, our group is focusing on those products dealing with utilization and manipulation of digital information.