Harvard Working On An AI As Fast As The Human Brain

Harvard Is Trying to Build an AI As Fast As the Human Brain

Emily Reynolds | January 25, 2016

Harvard University has been awarded $28 million (£19m) to investigate why brains are so much better at learning and retaining information than artificial intelligence. The award, from the Intelligence Advanced Projects Activity (IARPA), could help make AI systems faster, smarter and more like human brains. 
While many computers have a comparable storage capacity, their ability to recognise patterns and learn information does not match the human brain. But a better understanding of how neurons are connected could help develop more complex artificial intelligence.

Source: http://www.33rdsquare.com/2015/12/ai-algorithm-learns-simple-tasks-as.html

<more at http://www.wired.co.uk/news/archive/2016-01/25/harvard-brain-ai-neuroscience; related links: http://www.iarpa.gov/ (Getting Started with IARPA) and https://www.inverse.com/article/6366-q-a-pedro-domingos-discusses-the-future-of-machine-learning (Why the Future of Machine Learning Is a Master Algorithm. September 22, 2015)>