Computational approaches for AI systems

Darwin designed his tongue-in-cheek cost-benefit analysis to help himself make a choice. In that respect, it was an algorithm, as are recipes, business processes and just about any other instructions that we use in our daily lives either to solve problems or to complete tasks. Nowadays, algorithms are programmed into devices to automate jobs that past generations had to do by hand. We call it artificial intelligence and it has moved into the mainstream. All this has been made possible by recent improvements in software and hardware, which have boosted computational performance, data storage capabilities and network bandwidth. AI technologies are driving the digital transformation of industry and society by satisfying demands for more intelligent services and analytics.