Artificial Neural Networks with Java

Abstract

We are at the verge of AI powered tools to have the knowhow of the human brain. Imagine the benefits; boost of performance, time saving on menial tasks and improved service delivery. Artificial neural networks and artificial intelligence networks model based on structure and functions of human biological neural networks are gearing up to have a huge impact on business processes everywhere. As a matter of fact a lot of companies nowadays are already using similar technics of neural networking technology and are creating frameworks for their implementation. For example Microsoft has deep neural network to classify malware and has recently previewed Project Brainwave, a hardware architecture that makes real-time AI calculations. This project is being tested for providing solutions for automated optical inspection system. The system will scan products on the assembly line for defects with lighting speed. Meanwhile, IBM has released a beta of its Neural Network Modeler in Watson Studio that lets developers use a visual approach to designing deep learning architectures for image, text and audio data. In fewer words this is the game changer of business processes in this new era of Artificial intelligence.