Artificial intelligence

The whole idea of developing artificial intelligence came out as an effort by scientists to mimic human perspectives, especially, the human brain. When technology came into existence in the 1950s, people thought that recreating human brain with artificial intelligence would be easy. But during the AI winter, their dreams were shattered and researchers realized that mimicking the human brain and creating an AI model with similar capabilities is a long-term process. Since then, scientists from across the globe are working to infuse human intelligence in machines.

The human brain mechanism is often admired by scientists as one of the best creations of nature. However, it is challenging to decode and mimic it in any kind of artificial intelligence model. Fortunately, after seven decades, we are finally taking baby steps to reach big heights in the future. But what makes it this difficult for scientists in recreating human brain with artificial intelligence? It is the way we learn and understand things. The human brain learns through experience. We see, hear, smell, and taste things in life and learn life lessons. Unlike humans, AI models are fed with similar data to imitate human activities. In the 21st century alone, scientists have reached major milestones in the recreation of human brain with Artificial intelligence.

A group of scientists from Bengaluru, India, have developed a device that can mimic human brain’s cognitive actions and is more intelligent than conventional techniques in emulating artificial intelligence. It accelerates the computational speed and increased power consumption. On the other hand, a US researchers team has developed an ‘artificial synapse.’ Unlike other machines that follow the computational process to analyze things, this model mimics human brain functions to complete any task. 

Similarly, a duo from the Korea Institute of Science and Technology (KIST) have come up with an Artificial intelligence neurofiber transistor to analyze data rapidly as humans do.

Unleashing the Futuristic Artificial Neurofiber Transistor

The advancement in technology has opened many opportunities and at the same time, congested certain functionalities. One such thing is the inflow of data. Existing computational methods are having a tough time analyzing data. Besides, it consumes a lot of power. Therefore, Dr. Jung ah Lim and Dr. Hyunsu Ju of the Center for Opto-electronic Materials and Devices at KIST have come up with an artificial neurofiber transistor that could save energy and save time. Imitating the neuron functions of the human brain, the researchers have developed the transistor to streamline data processing. It follows both the behaviours of both neurons and synapses.