Artificial Intelligence (03:36)
Advances in AI have raised questions about how close a computer can get to functioning like a human brain. Xiaoice, a Microsoft chat bot, has had more than 30 million text conservation with users in China; it is easy to forget she is not a real person.
Defining Intelligence (08:49)
Traditional intelligence in AI was thought of as the ability to do intelligent tasks, like play chess. It created supercomputers, but they lack understanding of the world and common sense. Some computer scientists believe unlocking the secrets of vision is the key to creating human-like Artificial Intelligence.
Deep Learning (05:45)
This method of AI learning based on how the human brain learns. It is the best method when teaching AI to recognize images. Deep learning enabled Google to build AlphaGo, an AI that defeated a human champion in Go.
Everyday Deep Learning (03:26)
Deep learning programs have become increasingly common and are major parts of smart devices. This method is being used in medicine to identify cancer symptoms.
Emotional Intelligence (04:56)
Computer scientist Rana el Kaliouby developed an algorithm to recognize human behavior and emotions. The AI learned to read emotion through the positioning of facial muscles.
Interactive Learning (04:55)
Having an AI learn in the world on its own could be the way to create human-level intelligence. Common sense is learned through experience and interactions.
Neuromorphic Computing (04:11)
The method of brain-inspired computing models the hardware after the human brain. Most computers separate computation and memory, but in neuromorphic computing they are combined into one chip that uses significantly less energy. The chip's quick decision-making time has drawn the attention of the Defense Department.
Dangers of AI (06:15)
Though AI turning on humans is common in pop culture storytelling, some scientists and engineers have also warned about it. Most believe AI technology is far away from the level of intelligence that would be needed to turn against humans. Most dangers are more mundane, like the systems failing in self-driving cars.
AI Employment (06:14)
AI could lead to a decrease in jobs for humans. Companies, like Amazon, use robots to move products through their warehouses. New technologies often displace workers from old positions but also create new employment opportunities.
Credits: Can We Build a Brain? (01:05)
Credits: Can We Build a Brain?
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