Does AI have brains too?
A neural network is a powerful and innovative technology inspired by the structure and function of the human brain. It is a form of artificial intelligence that uses interconnected nodes, also known as artificial neurons, to process and learn from vast amounts of data. These interconnected neurons form layers and information flows through them in a forward direction, allowing the network to recognize patterns and make predictions.
“A subset of machine learning technology inspired by the structure and function of the human brain.”
Pros of Neural Networks:
Can work longer and more efficiently than humans
Are continuously being expanded in new fields
Can be programmed to learn from past outcomes for smarter calculations
Leverage online services that reduce systematic risk
However, the success of neural networks is not without challenges. Training large-scale neural networks can be computationally expensive and require significant computational resources. Moreover, understanding how neural networks arrive at decisions, known as the “black box” problem, remains an ongoing research area.
Their ability to learn complex patterns from data and make accurate predictions has transformed numerous industries and opened the door to new possibilities. As research and development in neural networks continue to progress, we can expect even more exciting and innovative applications in the future.