I have always been intrigued by the human brain’s functioning and its similarity to neural networks in computers. Recently, I read an article by Politecnico di Milano that highlights the advancements in neurotechnology. With the increasing use of AI and natural language learning technologies, it has become essential to perfect them while considering their implications. Although supervised learning and deep learning have evolved significantly over the years, their development is closely linked to that of the human brain. Researchers have now developed a more efficient and energy-saving memristor that mimics the structure of the human brain and can process massive amounts of data in parallel. However, this innovation is not yet ready for use as it is challenging to integrate with existing computer chips.
Researchers are developing computer architectures that imitate the human brain’s functioning by using new components. These new components, called memristors, are based on nanocrystals of halogenated perovskite, a semiconductor material that is commonly used for the production of solar cells. Unlike computers that have separate memory and processor units, the human brain’s synapses can store and process data simultaneously, making it more energy-efficient than a laptop. Although computers are limited by the speed of data transfer between their memory and processor units, the human brain can effortlessly process complex sensory information and learn from experience.
The researchers conducted measurements and used them to simulate a visual cortex learning process that involved determining the orientation of a light bar based on signals from the retina. According to Rohit John, a postdoc at ETH Zurich and Empa, halide perovskites have dual conductivity, which enables more complex calculations similar to those in the human brain. The research is both fascinating and alarming, as it suggests that machines may eventually take over human thought processes. This possibility of complete domination is only a few years away.
According to Farahany, like other new and rapidly developing areas of technology, the pace of development in brain wearables may be too fast to regulate. She believes that the technology will soon become widely adopted. However, she also thinks that there is still an opportunity to establish a set of rights and interests that prioritize individuals and their right to cognitive liberty before brain wearables become more prevalent. Farahany believes that this is the last chance to make this decision before the technology becomes too widespread to regulate effectively. Personally, medical device security should become imperative for not only security reasons but also for safety reasons. Standards like ISO 13485 should be taken seriously and carefully implemented to ensure the safety with handling of these brain-wearable technology for consumer grade use.
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