Time, in this view, doesn’t look like a line in which one event causes another. Instead, eight events might be the eight vertices of a cube. Each point may connect with new geometric shapes that arise inside the cube—the vertices of which are also events—or the cube could become a point in a larger geometry. In any case, time is building a geometry like a crystal.

THE TEAM BUILT TWO ARTIFICIAL BRAINS to operate according to these theories so they could observe what happens without the interference of human projections, narratives, and emotions, and compare them with human subjects. An artificial brain doesn’t have an ego or a sense of existential dread, among other things, that might muddy the results. On the other hand, they were limited to a smaller number of primes because the machines don’t have other attributes humans do have.

The goal isn’t just to isolate consciousness or define it. It is for humans to understand and recalibrate along the lines of universal consciousness. Bandyopadhyay and his team want to build a better world by beginning not with human logic but by observing the patterns nature itself has created–the universal invariables.

Companies that embrace a data-driven culture will be better able to thrive in not just life sciences, but every industry. By leveraging AI and strengthening the collaboration between humans and machines, organizations can achieve better quality, ensure data-driven decision-making and democratize data across their enterprise.

It’s incredible to think of where we’ll be in just a few short years. Those who can adapt to a data-first culture and not only implement AI technologies, but also understand its application and address the challenges, will be better positioned for success.

I’ll close with this—follow the data. Make decisions based on that data. That’s it. It’s that simple. In the search for truth, data-driven decisions are the way forward.