In a Turing test that does not use words, the human-like variability of behavior blurs distinctions between a person and a machine.
The human-like variability of movements in time is a powerful clue that humans use to attribute humanity to robots.
Researchers at the University of Geneva have found that people who use ketamine for long periods of time are unlikely to become addicted to it. The group published their findings in Nature journal, describing their research on the effects of the synthetic compound and its effect on various brain regions. Rianne Campbell and Mary Kay Lobo from the University of Maryland School of Medicine published a News and Views article in the same journal that outlines the work of the Swiss team.