The Human Brain

Introduction The human body is divided into various parts called organs. All parts are controlled by organs called the brain at the head. The brain weighs about 75 lbs and looks white and pink. The brain is composed of many cells and is the body's control center. The brain flushes information to other parts of the body. These messages propagate in very fine threads called neurons. The nerve and brain constitute a kind of pole-like system that goes through town wires.

The human brain is neither like a computer nor a computer like a human brain. Computers can perform a "neural network" process, but they are inspired by cranial nerve cells, but are not self-organizing and adaptive. Furthermore, machine learning teaching a computer to operate in a manner not explicitly programmed to execute is not a substitute for human learning. It turned out that machine-based knowledge far exceeds the human brain's ability to memorize knowledge, understanding and understanding. Therefore, people tend to rely more on machine-based knowledge and this knowledge is always "online" accessible, so there is the additional advantage of not having a reservation.

More and more research ideas are based on the human brain working principle to reconsider the core principles of artificial intelligence including children. Originally inspired by the human brain (ie the name "nerve"), the neural network is rapidly separated from biology - as a general example, backpropagation is not essentially equivalent. The intersection of artificial intelligence and neuroscience is the subject of the "Brain and Machine Calculation" seminar mentioned earlier. These two fields are still mutually understanding, but the deepest AI thinker such as Yann LeCun (video: the principle of neonatal learning?) And Yoshua Bengio which is a deep learning godfather is in neuroscience research It is obvious what you are paying attention to. (Video: narrowing the gap between deep learning and neuroscience)