When Larry is on the elevator to the union meeting he says "Surely you can't be serious." When Julie Hagerty responds he replies "but should I stop calling you Shirley?". This is a reference to Y a-t-il un pilote dans l'avion ? (1980) in which Hagerty also stars as a flight attendant.
The slogan for Federated Airlines is: "Arrive alive or your trip's on us" with a disclaimer: Effective January 1, 2014. Offer not valid on international flights.
Several actors, including Mark Feuerstein, have appeared on the show "Royal Pains". Mark was the main character. Director Sam Friedlander was a producer on the show.
Sally at one point informs Larry that being a robot, she wasn't designed to literally have a heart. Hearts pump blood, and blood is crucial for higher organisms. Since robots aren't organisms, they need no blood nor heart, just motors, circuitry, sensors, and a power source.
Sally's brain is described as being like a powerful micro-processor that's capable of five billion decisions per second. With five billion decisions per second it would be a problem to choose which decision to use. To make these decisions you would have to have absolute (or exact) information and how would you go about getting this information? Information alone cannot solve a problem, you have to understand how to use your information. This is what is called knowledge the capacity to make a meaning or make useful different pieces of information for a greater understanding. Five billion decisions is okay in a game of chess and the computer can take its time to go through all the possibilities.
In real life, as we walk along a path and the path gives way. A fast reaction is needed. Your brain receives thousands of bits of information, visual, balance and from the muscles, that tells you, not only that you are falling, but in which direction you are falling. All in a split second.
As such, it's not the number of operations that counts but its ability to make accurate decisions based on accurate predictions. And this doesn't really depend on the brain, but more on the quality and frequency of sensory inputs. As for true AI, current AI can beat human brains in many fields, because it can use whatever sensors you want it to use. As humans, we don't have such flexibility in the types of sensory inputs we use for our situational awareness. As such, a powerful brain doesn't mean anything if it's not intelligently connected with sensors that can help it to operate certain tasks.
Also in reality, such a processor would be grossly under powered for the job. The CPU in a current (2015 +/-) notebook computer runs faster. How much processing power is actually needed to control a robot depends of what behavior you want to implement. Not much processing power is need if the robot is teleoperated (remotely controlled) In that case the 5 billion/second CPU in the question is about right. The requirements go up considerably as you add sensors and amounts of anonymous behavior.
Researchers doing experiments with AI typically nowadays are at least using high-end CPUs For their work. These can do a few trillion operations per second (remember, a trillion is one thousand times one billion).
IBM's "Watson," an AI machine that can answer questions, runs on a cluster of roughly 100 8-core processors for something over 3,000 billion (equal to 3 trillion) operations per second.
In real life, as we walk along a path and the path gives way. A fast reaction is needed. Your brain receives thousands of bits of information, visual, balance and from the muscles, that tells you, not only that you are falling, but in which direction you are falling. All in a split second.
As such, it's not the number of operations that counts but its ability to make accurate decisions based on accurate predictions. And this doesn't really depend on the brain, but more on the quality and frequency of sensory inputs. As for true AI, current AI can beat human brains in many fields, because it can use whatever sensors you want it to use. As humans, we don't have such flexibility in the types of sensory inputs we use for our situational awareness. As such, a powerful brain doesn't mean anything if it's not intelligently connected with sensors that can help it to operate certain tasks.
Also in reality, such a processor would be grossly under powered for the job. The CPU in a current (2015 +/-) notebook computer runs faster. How much processing power is actually needed to control a robot depends of what behavior you want to implement. Not much processing power is need if the robot is teleoperated (remotely controlled) In that case the 5 billion/second CPU in the question is about right. The requirements go up considerably as you add sensors and amounts of anonymous behavior.
Researchers doing experiments with AI typically nowadays are at least using high-end CPUs For their work. These can do a few trillion operations per second (remember, a trillion is one thousand times one billion).
IBM's "Watson," an AI machine that can answer questions, runs on a cluster of roughly 100 8-core processors for something over 3,000 billion (equal to 3 trillion) operations per second.