ABSTRACT
Technology and processing power are no longer the inhibitors to the advance of artificial intelligence (AI) in sport that they once were. In F1, for example, everything from the driver to the car itself can be measured to the nth degree and aggregated to deliver advantages of 1000th of a second that can decide the race. AI can provide a comparative analysis on a variety of health parameters, which can themselves, be provided by AI-supported wearable technology. The evolution of AI may have arrived at a place where the battleground between contesting approaches has tilted in favor of what are sometimes referred to as the “connectionists” over the early leaders, the “symbolists”. As the onion layers of AI are peeled back, ever further layers are revealed. Machine learning, for example, is traditionally broken into three further subfields – “supervised learning”, “unsupervised learning” and “reinforcement learning”.
