Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations - DATAVERSITY

In recent years, some astonishing technological breakthroughs in the field artificial intelligence (AI) and its sub-field deep learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. However, machines are still behind in articulating the reasons behind their choices or actions. In other words, a machine witness still cannot be used in a court of law to solve a case as it cannot "justify" past actions. The noteworthy achievements in AI applications include the inclusion of neural networks and deep learning (DL), which combine unique training opportunities for machines to learn from layers of knowledge, and then to apply that knowledge to achieve particular goals.