Progress in AI and its Future Development

AI has achieved recent performance breakthroughs across numerous cognitive applications (Figure 7), from image classification to pattern recognition and ontological reasoning. This progress is due largely to convergent advances across three enablers: computing power, training data and learning algorithms. Solutions are currently trained on millions of image data, a 100-fold increase compared with a decade ago. Computing and storage costs have declined commensurately by an average of 35% year on year. In the near future, AI will build on adoption enablers to unlock faster, smarter and more intuitive applications, although progress will probably be confined to broad adoption of narrow, context-aware intelligence across domains.