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computers' strengths lie in speed and accuracy, while humans' strengths are all about flexibility

There are three types of work that humans do really well but computers cannot (yet):

1) Unstructured problem-solving

Humanoid robots are now being introduced into nursing homes, and as therapists, for example. The new Hello Barbie toy will be a "friend" to children, holding conversations with young boys and girls. Robots are even getting married in Japan.

A perfect example of the backlash against human-like machines happened last Friday, when Adrian David Cheok and David Levy were forced to cancel their second annual Congress on Love and Sex with Robots, set to be held in Malaysia next month.

The case of the cancelled conference is just the beginning of the kind of obstacles intellectuals and researchers may encounter in the pursuit of academic study of humanoid robotics—an increasingly controversial field as the line between fantasy and reality gets blurred

Law firm Baker & Hostetler has announced that they are employing IBM’s AI Ross to handle their bankruptcy practice, which at the moment consists of nearly 50 lawyers.

Ross, “the world’s first artificially intelligent attorney” built on IBM’s cognitive computer Watson, was designed to read and understand language, postulate hypotheses when asked questions, research, and then generate responses (along with references and citations) to back up its conclusions. Ross also learns from experience, gaining speed and knowledge the more you interact with it.

“At BakerHostetler, we believe that emerging technologies like cognitive computing and other forms of machine learning can help enhance the services we deliver to our clients.”