Neuroscientists warn against artificial intelligence

The brain is an ever-present organ surrounded by a mysterious halo. It’s amazing how our ability to think and feel comes from a cell that weighs about 1.5 kg and uses it like a light bulb. So, trying is one of the great challenges of science Understand the variables involved in brain activity. However, the enormous amount of data handled while studying it and the difficulties in recording its signals require more complex and specialized equipment. Thanks to new devices and more computing power, Artificial intelligence has revolutionized the field of neuroscience. But this can turn out to be a danger and we must be prepared for it.

Teaching computers to think

The connection between neuroscience and AI practically started with the latter. John McCarthy coined the term artificial intelligence in 1956, and it was already being talked about in 1957. Artificial Neural Networks In computing, it tries to bridge the distance between the two sciences. These networks represented a shift in the computing paradigm because they allowed machines to automatically improve the results obtained when faced with a problem. therefore, Machines since then<கற்க>> DoneA trait hitherto reserved for living beings.

With the advancement of technology, computers gained processing and memory capacity, which allowed Study increasingly complex systems. In this way many doors were opened in various fields of study. Among them, astronomy or genetics stand out, where different computer programs allow them to organize and give meaning to the enormous data they handle, thus obtaining reliable results. Something similar happened in neuroscience, but in this case the most difficult thing was not to analyze the data, If you don’t get them.

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