Deep Learning makes the difference
Deep Learning makes the difference
Artificial Intelligence has long since found its way into our everyday lives. Translation programs are used billions of times a day. They are also based on AI algorithms such as spam filters or plagiarism checkers. Many professions use big data analysis of intelligent software: Doctors use it when analyzing an MRI and X-ray images, lawyers when searching for precedent judgments and tax advisors when organizing client profiles.
Unlike conventional software, these AI systems today can make decisions or answer questions that are not already thematically stored in their code. This abstraction is made possible by Deep Learning. Algorithms simulate the synapse nodes of the human brain. Input passes through several layers, one after the other. The number of involved nodes is immense: Current AI systems organize billions of artificial neurons in roughly 30 layers. Only in recent years have processor performance, internet bandwidth and data available via the cloud reached the necessary level to support such self-learning programs.