When a series of potholes appeared in the city, the town of Oviedo, Florida sent a robotic camera into a storm water pipe to investigate "anomalies" under the roadway. They were shocked to find a 5ft (1.7m) alligator. "At first, they thought it was a toad and in the video, you see two little glowing eyes until you get closer - but when it turned around, they saw the long tail of the alligator and followed it through the pipes," Oviedo city officials said. "Thank goodness our crews have a robot", officials added, warning locals not to wander down into the pipes.

Crews in Oviedo, Florida, were investigating underground pipes for anomalies when their robotic camera ran into a 5-foot alligator. A city crew in Florida spotted a 5-foot alligator lurking in a stormwater pipe while investigating the pipes with a robotic camera last week, officials said Tuesday. The stormwater crew in the city of Oviedo, located about 20 miles northeast of Orlando, was on Lockwood Boulevard to check on a series of potholes that appeared in the roadway on Friday, the city said in a Facebook post. The crew used a four-wheel robotic camera to go into the pipes below the road and investigate any anomalies such as leaking pipes, cracks or other defects underground, officials said. However, crews instead found a different kind of anomaly while searching the underground pipes.

Is it possible to learn how to feel? A research study to validate artificial creativity will discover it. Launching in Spanish, Falta Una Palabra- translated as In Need of a Word is a novel written by Dr. Ángel García-Crespo with the help of AI. It tells the love story of Beatriz and Benito, two people looking for a word to describe the nature of their relationship. Beatriz and Benito share a dilemma that feeds their passion, they can't be together or separated.

One hundred years from now, hospitals will be nearly unrecognizable as care moves to the outpatient setting and organizations integrate artificial intelligence, telemedicine and other IT applications to care for patients outside the walls of their institution. Forty-five healthcare executives, including five from hospital C-suites, describe the key trends disrupting the traditional hospital and how institutions can prepare for the future. Here is what 45 healthcare executives had to say about the hospital of the future. Responses are organized by category -- hospital CEOs and executives, physicians, health IT leaders, consultants and healthcare firms and organizations -- and in alphabetical order within each category. Responses have been edited lightly for length and clarity. Executive Vice President and Chief Strategy Officer at Memorial Hermann (Houston): "For decades, healthcare institutions operated under the assumption that people who are sick or injured should be seen by a ...

This paper describes the development and empirical testing of an intelligent tutoring system (ITS) with two emerging methodologies: (1) a partially observable Markov decision process (POMDP) for representing the learner model and (2) inquiry modeling, which informs the learner model with questions learners ask during instruction. POMDPs have been successfully applied to non-ITS domains but, until recently, have seemed intractable for large-scale intelligent tutoring challenges. New, ITS-specific representations leverage common regularities in intelligent tutoring to make a POMDP practical as a learner model. Inquiry modeling is a novel paradigm for informing learner models by observing rich features of learners’ help requests such as categorical content, context, and timing. The experiment described in this paper demonstrates that inquiry modeling and planning with POMDPs can yield significant and substantive learning improvements in a realistic, scenario-based training task.