IBM in the United States has recently launched a brain like chip called "Arctic", which runs image recognition algorithms driven by artificial intelligence at a speed 22 times faster than similar commercial chips and has 25 times more energy efficiency than similar chips. The relevant research paper was published in the journal Science on October 19th. The 'Arctic' chip interweaves its computing modules with information storage modules, allowing each computing core to easily access remote storage blocks like adjacent storage blocks, greatly accelerating the speed of information exchange between computing and storage units. This design concept was inspired by the way the human brain works. IBM had previously manufactured chips known as "True North" based on this idea, but "North Pole" transformed this technology into a digital architecture compatible with silicon chip technology used in contemporary computers. The head of the research team, Dalmendra Modha from IBM Research Laboratory, stated that this is a new approach to looking at computer architecture. The research team stated that the new chip can run universal image recognition artificial intelligence, as well as artificial intelligence for speech recognition and natural language processing, faster and more efficiently than any commercial chip on the market, with a speed of 22 times that of similar commercial chips and an energy efficiency of 25 times that of similar chips. In addition, compared to other chip architectures, the 'Arctic' chip is more compact, encapsulating 22 billion transistors in an 800 square millimeter space. But the 'Arctic' cannot perform other tasks, such as artificial intelligence training tasks, nor can it easily run larger artificial intelligence models. The research team plans to prove whether multiple 'Arctic' chips can support large language models. Although the prototype of the "Arctic" chip is unlikely to be commercialized immediately, the digital architecture of the "Arctic" chip is extremely innovative, which is crucial to the efficient operation of AI on the computing hardware of autonomous vehicle and aircraft. (New News Agency)