Electronic enthusiasts eight o'clock: "Connected" magazine recently pointed out that neuromorphics are designed to mimic the human brain, they may soon replace the CPU. The following is a summary of the article: Artificial intelligence services like Apple Siri need to transmit user problems to distant data centers and then send back responses through data center operations. Such artificial intelligence services need to rely on cloud computing because current electronic devices do not have enough computing power to run the powerful processing algorithms required for machine learning. Currently, most CPUs configured in smartphones cannot support running a system like Siri in the device. But theoretical neuroscientist and co-CEO of Applied Brain Research, a Canadian artificial intelligence startup, Chris Eliasmith, is confident that the new chip will change. "Many people think that Moore's Law is coming to an end, which means that in the same way, we won't be able to get 'more computing power' cheaply," Alice Smith said. In his view, the rapid development of neuromorphic chips will solve this problem. Although neuromorphic chips are not widely known, several large chip manufacturers are already developing such chips. The processing instructions of the conventional CPU are based on "clock time" - the information is sent at regular intervals as if it were managed by the metronome. The neuromorphic chip simulates the ability of the human brain to simultaneously process multiple data in a chip. Neurons can change the connection to other neurons based on changes in images, sounds, or other signals. Therefore, these neuromorphic chips mimic the neural network of the human brain and can realize some functions of the human brain. The huge market potential of neuromorphic chips is due to the extremely low power consumption of such chips for processing artificial intelligence algorithms. For example, a neuromorphic chip made by IBM contains five times as many transistors as Intel's standard processors, but only consumes 70 milliwatts. An Intel processor requires 35 to 140 watts of power and consumes up to 2000 times the power of a neuromorphic chip. Alice Smith pointed out that the concept of neuromorphic chips is not new and has been designed since the 1980s. But the design at the time required a specific algorithm to be implanted directly into the chip, which meant that one chip was needed to recognize the action, and the other chip was used to detect the sound. No chip could play the role of a general-purpose processor like the human cerebral cortex. This part comes from the fact that programmers have no way to design algorithms that work with general-purpose chips. So even brain-like chips have long been developed, and developing algorithms for them is still one of the main challenges for researchers. At the heart of these efforts is a compiler called "Nengo," which developers use to develop their own algorithms for artificial intelligence applications that run on general-purpose neuromorphic chip hardware. A compiler is a software tool that programmers use to write code that translates code into complex instructions that allow the hardware to do something. What makes Nengo more practical is that it uses the familiar Python language that programmers are familiar with, and its ability to load algorithms into many different hardware platforms, such as neuromorphic chips. Soon, programmers familiar with Python can write complex neural nets for neuromorphic chip hardware. “Neogo is already embedded in vision systems, language systems, motion control and adaptive automation,†said Peter Suma, co-CEO of Applied Brain Research. The most impressive system written using the Nengo compiler is called Spaun. After its release in 2012, Spaun was hailed as the most complex brain model of computer simulation. Spaun is able to receive visual inputs, calculate results, and write them down by robot. Its intelligence is once only owned by humans. Although Spaun is not perfect, it is a great indication that computers will one day blur the boundaries between human and machine cognition. Recently, by using neuromorphic chips, most Spauns have been running 9000 times faster and consume less power than conventional CPUs. By the end of 2017, all Spaun will be running in neuromorphic chip hardware. Alice Smith won the John C. Polyani Award from the Canadian Natural Science and Engineering Technology Research Council (NSERC) for his project, which is Canada's highest recognition of breakthrough scientific achievements. After Summa accidentally learned about Alice's research project, the two of them began to work together to commercialize these tools. “Spaun shows us that one day humans can develop a smooth intelligent reasoning system, and neuromorphic chips will allow artificial intelligence to understand many types of contexts in the short term,†Summa said. Summa also stressed that "like Siri, today's artificial intelligence is still offline until a clear order is issued, and we will soon have an artificial intelligence assistant that is always online and accompanying users." “Imagine that Siri can hear and see all the conversations and conversations of the users. Users can ask questions like 'Who I talked about at the luncheon luncheon?†or 'What is Marissa’s birthday gift for my wife? Idea? 'Wait," he said. When asked if the user's sensitive information will be mastered by some companies, Summa emphasizes that artificial intelligence will process the algorithm through the user's own device, because the information does not need to be processed by the server of the large company. For Alice Smith, "always on" is a necessary step towards real machine awareness. "The biggest difference between the vast majority of artificial intelligence systems in the market today and the bio-intelligence systems we use is that the latter always works in real time. In the physical world, the body and the brain work together," he said. The IT industry has already made a lot of efforts to promote the artificial intelligence technology developed by itself to users. Companies including Apple, Amazon, Samsung Electronics, Google, Facebook, etc. are all developing their own voice assistants, hoping to make them digital assistants one day. With the rise of neuromorphic chips and tools such as Nengo, artificial intelligence will soon show an amazing level of natural intelligence in users' mobile phones. (Compile / Ming Xuan) Disclaimer: The electronic reprinted works of E-Commerce Network are as far as possible to indicate the source, and all rights of the owner of the work are not transferred due to the reprint of this site. If the author does not agree to reprint, please inform the site to delete or correct it. Reprinted works may be subject to change in title or content. A manual pulse generator (MPG) is a device normally associated with computer numerically controlled machinery or other devices involved in positioning. It usually consists of a rotating knob that generates electrical pulses that are sent to an equipment controller. The controller will then move the piece of equipment a predetermined distance for each pulse. 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