Therefore, we believe that we have only just begun to scratch the surface of what is possible in the emerging field of moiré neuromorphic computing." "However, there are many other two-dimensional materials that can be stacked into other moiré heterostructures. "Thus far, we have only implemented the moiré synaptic transistor with hBN and BLG," Hersam told Live Science in an email. But the AI using the chip still demonstrated associative learning, the researchers said. In further experiments, the researchers also threw "curveballs" at the AI by giving it incomplete patterns. This seems simple enough, but today's AI tools struggle with this type of cognitive reasoning. The sequences 000 and 111 aren't the same, but the AI figured out they were both three digits in a row. The researchers then asked the AI to identify similar patterns - for example, by presenting it with 111 and 101. In one exercise, the researchers trained the AI to detect the sequence 000. Gemini AI: What do we know about Google's answer to ChatGPT? AI Can Now Decode Words Directly from Brain Waves Google's 'mind-reading' AI can tell what music you listened to based on your brain signals Real-world conditions are often more complicated than current AI algorithms can handle, so we tested our new devices under more complicated conditions to verify their advanced capabilities." "Our goal is to advance AI technology in the direction of higher-level thinking. "If AI is meant to mimic human thought, one of the lowest-level tasks would be to classify data, which is simply sorting into bins," Hersam said. This process, known as associative learning, is one that most machine learning systems can't perform well. Then they showed the chip new sequences that were similar to the training data but not the same. The researchers tested the chip by first training it on data so it could learn to recognize patterns. Getting the transistor to work at room temperature required using a specific degree of twist and adopting a near-perfect alignment between hBN and BLG. When they rotated one layer relative to the other, new electronic properties emerged that didn't exist in either layer separately. A schematic showing the different layers within the new technology.
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