ABSTRACT
The recent arrival of DeepMind's AlphaFold2 may be yet another signal along the road toward the goal of artificial general intelligence. This journey is continual and presents futuristic predictions with an ever-changing landscape. The automated video assistant coach (AVAC) will enable coaches, analysts and the players to analyze games make tactical choices in real time during matches. An AVAC system will become the future of human-centric artificial intelligence (AI) research for sport, with the objective of providing a cohesive system enabling both understanding and improvement of in-game human play. However, even for those who concede the possibility of heavily AI-“augmented” athletes, the idea of robots and cyborgs populating the sporting arenas of the world is still unimaginable and probably uncomfortable. Machine learning is showing encouraging results in interpreting MRI scanning imagery to detect injuries such as ACL tears as well as determining the success of any interventions.
