This data is then analyzed by AI, which enables systems to infer what kind of dream a subject is having. In the case of the latter, the contents of subjects’ dreams are recorded along with their brain waves. In the case of former, the brain waves of subjects are measured as they utter various words, AI then analyzes this data and is then able to transcribe sentences from brain waves with a high level of accuracy. Systems that can measure brain waves and turn them into sentences and systems that can read dreams have already more or less been achieved. Major advances in brain science using AIĪdvances in AI technologies are also bringing about progress in brain science and other areas where AI is being applied. It has also been suggested that a metaverse must also have economic elements and be immersive and accessible, for a total of seven criteria. In 2011, the Virtual Reality Society of Japan defined the metaverse as something that fulfills the following four criteria: (1) it has a three-dimensional simulated space, (2) it has avatars that are representative of users, (3) multiple avatars can share the same three-dimensional space, and (4) objects can be created inside that space. There is still no consensus on the definition of the metaverse. We think the metaverse is likely to spur major technological advancements in semiconductor-related fields within the next few years. AI made great strides in the 2010s using brain science and neuroscience as its theoretical basis, achieving, among other things, greater image recognition accuracy than humans for some tasks and unsupervised learning, thanks to improvements in computer processing capabilities and the accumulation of massive amounts of “big data”.
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