solution and progressed it along a learning gradient , developments from companies like Uber Technologies have changed our approach . “ We can now run multiple evolutions within a single solution space , which allows multiple solutions to challenge without putting all our eggs in one basket and then discovering there are unseen constraints to this approach . In these cases , we seed alternative evolutions , which subsequently erodes development time because we can come to a desirable solution faster .”
What roadblocks does Miikkulainen believe that AI and deep learning must overcome to advance in the close future ?
“ One of the most intriguing challenges facing AI is the human bottleneck . Over the last decade we have gained experience in creating neural networks and learning evolutions in the academic space , but we lack commercial application . We are still looking for the industrialisation of AI , and great minds that understand the possibilities of this medium and can put it to work in real world situations .
“ For instance , we perform a significant amount of work within
36 April 2018