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The Terrifying Future of Artificial Intelligence

For decades, the growth of artificial intelligence has fascinated scholars and scientists alike. Today, intelligent machines aid and streamline our lives, but the next fifty or a hundred years may yield even more powerful AI, which could elevate or transform our species. If humans do create sophisticated, super-intelligent machines, how will the growth of artificial intelligence affect the future of humanity?
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Founder / Director: Peter Schumaker.
Chief Editor: Tristan Reed.
Content Editors:
Dr. Bassem Sabra (PhD)
Dr. Sean McKenna (PhD)
Original soundtrack by Joseph McDade.

These never-before-dated Neanderthal footprints could be nearly 300,000 years old

Nature.

Until then, the only time reference that allowed the age of the site to be established was the dating of one of the dunes that covered the surface to around 106,000 years ago (Upper Pleistocene). As with most of the hominid footprints found worldwide, we dated them in line with the environment in which they were found. For this reason, our first hypothesis when trying to attribute the newfound footprints was that they belonged to Neanderthals, who lived in the Upper Pleistocene.

Pancreas-on-a-Chip Technology for Transplantation Applications

Human pancreas-on-a-chip (PoC) technology is quickly advancing as a platform for complex in vitro modeling of islet physiology. This review summarizes the current progress and evaluates the possibility of using this technology for clinical islet transplantation.

PoC microfluidic platforms have mainly shown proof of principle for long-term culturing of islets to study islet function in a standardized format. Advancement in microfluidic design by using imaging-compatible biomaterials and biosensor technology might provide a novel future tool for predicting islet transplantation outcome. Progress in combining islets with other tissue types gives a possibility to study diabetic interventions in a minimal equivalent in vitro environment.

Although the field of PoC is still in its infancy, considerable progress in the development of functional systems has brought the technology on the verge of a general applicable tool that may be used to study islet quality and to replace animal testing in the development of diabetes interventions.