The Mammalian Eye

A new phototransistor has been developed by electrical engineers at the University of Wisconsin-Madison and it's a game changer. Keep both eyes on this one. It may not be big news yet, but it will impact the world of digital technology in all phases just as soon as the engineers finalize
a patent of their new technology through the Wisconsin Alumni Research Foundation.

The transistor was inspired by mammal eyes and is being touted as the "fastest, most responsive flexible silicon phototransistor ever made."

Phototransistors sense and collect light and then convert light into an electrical charge. While current phototransistors are rigid and flat, the new mammalian transistor is thin and flexible, allowing it to fit into devices much easier than ever before.

The upgrade in digital technology will improve the vision of satellites, cell phones, medical imaging and surveillance systems - to name a few examples. Zhenqiang "Jack" Ma, professor of electrical and computer engineering and research scientist Jung-Hun Seo collaborated on the project and stated that their high-performance phototransistor "far and away exceeds all previous flexible phototransistor parameters, including sensitivity and response time." You can read the full abstract on the invention - here -.

The Futureslaver team is still in shock after learning of this incredible development. We made a couple extra pots of coffee and met at 3:00 a.m. after receiving a Level 10 Alert to our pagers from our in-house A.I.

As typed previously in articles on technology here at Futureslaver HQ, we detailed the inevitability of robotic self-upgrades. Once robots are better than humans at improving their electrical architecture, we in essence as a species have to start acknowledging that the robots are here to stay and, perhaps, we are no longer King of the Hill. Even worse, there is the strong likelihood that we as humans will be demoted back to the dreaded food chain. So while we will herald this new development and the many benefits to humanity in the near future, we should also accept that the greatest benefactor will not be humans, but most definitely robots. Superior robots. We, therefore, pose the question, has the capacity for self-upgrades already begun? Are University of Wisconsin-Madison researchers Zhenqiang "Jack" Ma and Jung-Hun Seo decoys? Has the university stumbled into the creation of a sentient A.I. that is working behind the scenes to upgrade itself, beginning with visual capacity? That is the most likely
explanation.