Nathan Fielder, like Andy Kaufman before him, makes performance-art comedy that does not only poke fun at the world but experimentally perturbs it, and he plies this trade in the buffer zone between reality and artifice. He presents himself as something of a Kaspar Hauser figure for the age of artificial intelligence, a foundling raised not by wolves but by an advanced and affectless race of extraterrestrial anthropologists. His object is to isolate and mimic the rudiments of human sociability. Fielder's intuition is that many putatively normal people share his own bewildered dread of everyday interactions, which are at once governed by established, if opaque, social norms and subject to unnerving unpredictability. Children learn to tame uncertainty through repetition: they replay interactions in an effort to interpret and control the varied challenges of their environment.

As a competent marriage counselor might say, the foundation of any good relationship is communication--a principle the US military's research wing is taking to heart with a new program aimed at developing autonomous systems that are not just machines, but "trusted partners" with greater self-awareness. Autonomous technologies such as driverless cars cannot tell the humans they interact with much about how well they can perform in different conditions. A coach, for instance, might want to let a player with a sore arm sit out a game. Similarly, during bad weather, a passenger might choose a driverless car that performs better in the rain over another--if only the car could communicate its abilities better. The Defense Advanced Research Projects Agency (DARPA) seeks to develop that skill.

Get ready to say goodbye: Soon it will be obsolete. We're moving far beyond cars we drive to cars that drive us. In the next decade, cars will be highly cognitive, sophisticated mobility machines powered by AI. They will serve as drivers, navigators, and personal robots that assist us with everything we do. Cars of the future will learn, understand, and be able to reason and make informed, data-driven decisions that correlate the reams of data they collect on us -- their owners and riders -- with data on transportation, traffic, other automobiles, and a whole range of other sources.

Artificial intelligence (AI) refers to intelligence exhibited by machines. It lies at the intersection of big data, machine learning and computer programming. Computer programming contributes the necessary design and operational framework. It can make machines capable of carrying out a complex series of computations automatically. These computations can be linked to specific actions in the case robots (which are in principle programmable through computers).

Artificial intelligence (AI) refers to intelligence exhibited by machines. It lies at the intersection of big data, machine learning and robotics. Robotics contributes the necessary design, construction and operational framework. A robot can be defined as "a machine capable of carrying out a complex series of actions automatically, especially one programmable by a computer". Modern robots are often virtual algorithms performing not only physical but also cognitive tasks.

More than half of the world's population is bilingual and that prevalence is rising. Psychologists have been interested in how bilingualism shapes the mind for almost a century - and many say it can improve memory and attention. But new research suggests this may not be the case, and being bilingual could in fact be bad for your brain. In their studies, babies listened to words spoken in both Spanish and English, which is common in America. They are those who suggest that in order to speak in one language, bilinguals have to suppress the influence of the other.

In order to design robots suited to engage in cooperative manipulation tasks with humans, we study human-human teams as they work together to move a heavy object across a room. We are interested in several questions. First, do two person, gross motion tasks follow the same sinusoidal pattern, one person fine motion tasks do? Does performance improve when audio or visual communication is permitted? How does performance correlate with an individual's perception of performance? Non-physiological, or performance based, studies of human-human cooperation can be divided into two categories: Haptic and Non-Haptic (audio, visual, etc). The first category, involves physical interaction through the object being manipulated via force, pressure, and tactile sensations (Jones and Sarter 2008), (Reed and Peshkin 2008). Most of the non-haptic experiments are virtual setups where individuals are moving an object together on a computer screen via two controllers (Basdogan, Ho, and Srinivasan 2000), (Sallnas and Zhai 2003). A survey on the role of communication between people appears in (Whitaker, 2003). The novelty of our work is to investigate non-haptic communication in haptic manipulation tasks.