Future of Hybrid Thinking
Ever since you were a child, recall the moments where you came up with new and out of the box solutions for a given problem. You might also have developed unique habits and behavioral tendencies. This adaptation of new patterns is influenced by one of the most significant parts of the mammalian brain - the neocortex. Neuroscientists have found out that neocortex is responsible for our creativity and inventing new patterns, and other parts of the brain govern repetitive tasks. In this talk by Ray Kurzweil, he emphasizes upon neural connections and their increasing complexities at every level. Certain parts of the neocortex are responsible for humor and complex connections of attributes like smell to a particular object or person.He also narrates how computers are advancing in natural language processing, which will have a significant influence on future search engines and nanobots. Constant evolution in deep learning and Markov models are giving birth to highly intelligent systems. Imagine the power of these systems embedded with the human neocortex. The concept of hybrid thinking seems full of humongous opportunities for humans, and most of us would agree on this. Let us see the possibilities of ‘hybrid thinking’ and how it can be developed in the next few years.
Future of Hybrid Thinking
With the gradual developments in neuroscience and artificial intelligence, researchers are looking forward to harnessing the powers of both of these domains by combining them. Hybrid thinking is seen as a promising advancement that might lead to revolutionary changes in human anatomy as well as technology. It has enormous applications when combined with artificial intelligence, cloud computing, and nanotechnology. Let us dive into the possibilities of hybrid thinking.
Nanotechnology and Artificial Neocortex
Scientists in the Silicon Valley are constantly working to reduce the size of nanobots. The main aim of achieving minimal size is to use them for medical research. There are many proposals on how these nanobots will enter the body and help body functions to become more efficient.
Ray Kurzweil predicted that these nanobots would connect our neocortex with the cloud so that we could use an artificial neocortex in need. This vision seems very much possible considering the rate of development in artificial intelligence and deep learning.
Advanced Natural Language Processing
As more and more ardent neural network architectures come in the world of technology, many areas undergo revolutionary changes. For example, initially, the chatbots were based on simple decision trees that needed to pass the Turing test. Then came the era of perceptron based neural networks, which were further combined with Markov chains.
Recently, concepts like RNN and LSTMs have disrupted the field of machine intelligence and languages. Many scientists claim that this evolution will soon imitate the basic principles of the neocortex, which will result in more effective AI systems.
The human race is making commendable progress in technology and medical science. We have developed many systems which have challenged natural processes like evolution to the core. In just five decades, we have developed highly intelligent systems in exponentially less time than that of natural evolution.
It is a clear indication that our future is very bright, both in terms of technology and physical abilities. Visionaries like Ray Kurzweil believe that soon the integration of technologies along with human intelligence will surpass the biological limitations on the mental capacities of humans. It will result in an ardent concept of ‘hybrid thinking, and our race should get ready for this revolution.