By analyzing human brain activity, an artificial intelligence system can translate a person’s thoughts into real words with an accuracy rate of 97%. From a set of between 30 and 50 sentences, AI is able to decipher up to 250 words in real-time.
The researchers set the algorithm utilizing the neural signals of four women with electrodes implanted in their brains, which were already in place to monitor epileptic seizures. While the people were constantly reading sentences aloud, the researchers provided the brain data to the AI to eliminate patterns that may be related to individual words. The average word error rate per repeating population is as low as 3%.
Speed and accuracy, compared to natural speech, are tough standards for scientists to develop artificial intelligence systems that decode human brain signals. A trained repetitive neural network for the advancement of machine translation can encode each sentence-length sequence of nerve activity into an abstract representation and decode them into complete English sentences.
AI can translate neural activity into sentences with an accuracy rate of 97 percent (Photo: Getty Images)
However, the system is still deficient. In fact, the average working vocabulary of an English speaker is estimated to be around 20,000 words and this is what hinders normal verbal understanding of the system. Each new word increases the number of possible sentences while the AI system improves prediction based on learning the structure of a sentence. As a result, the scaling of the system is hampered and the overall accuracy also decreases.
In order to partially solve this problem, a possibility is presented to integrate the system with other brain-computer interface technologies using different types of algorithms and implants. In 2019, a report by the Royal Society claimed that the neural interfaces connecting computers to human brains would enable mind reading between humans. Besides, within two decades, diseases like Alzheimer's are able to be treated with the use of these interfaces, which will be an “established option”.
In the future, applications for linking the human brain to technology will be upgraded to a variety of ways such as humans can taste and smell with no sensory experience.
Source: Independent
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