Artificial intelligence chips mainly include NVidia GPU, Google's TPU, Intel's Nervana, IBM's TreueNorth, Microsoft's DPU and BrainWave, Baidu's XPU, Xilinx's xDNN, Cambrian chip, Horizon and Deepview's AI chip, etc. Basically, GPU, FPGA, and neural network chips are the three major trends. The three chips have their own advantages and disadvantages and are all geared toward their own unique market segments. This chapter first talks about the rise of deep neural networks and NVidia GPUs. The ultimate goal of artificial intelligence is to simulate the human brain, which has roughly 100 billion neurons and 100 trillion synapses, capable of handling complex vision, hearing, smell, taste, language skills, comprehension, cognitive abilities, emotional control, control of complex body mechanisms, complex psychological and physiological control while consuming only 10 to 20 watts of power. These are the basic neurons and synapses of the human brain. The i
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