AI Is Hard But Worth the Investment

Artificial neural networks (ANN), the main component of deep-learning algorithms, drew inspiration from the human brain and were meant to replicate its functions. Today, ANNs are not nearly as efficient and versatile as their biological counterparts. Nonetheless, they've yielded many important applications in fields such as computer vision, natural language processing, machine translation, and voice synthesis. And many scientific fields, including neuroscience, cognitive science, and other areas that have to do with the study of the human brain have benefited from the research in artificial general intelligence.