The need to train machines more quickly, more efficiently and less expensively is a pressing imperative. AI-powered technology, dependent on machine learning, has limitless potential to propel business and benefit society. Progressive improvements in training will bring incalculable rewards, if only we could imbue machines with a childlike curiosity that encourages them to learn more naturally, more intuitively and more effectively. Perhaps we can.
Like many businesses and academic institutions, our team at Cambridge Consultants invests in extracurricular research to advance machine learning, using algorithms and neural-network models to progressively improve the performance of computer systems. Many see meta learning – essentially learning to learn – as the ultimate objective. With that in mind, I’d like to share my progress report on the very latest academic and practical developments from the global AI hothouse.
First let’s recap on the headway made...