2016 was a year of headlines in artificial intelligence. A top-selling holiday gift was the AI-powered Amazon Echo; IBM Watson was used todiagnosecancer; and Google DeepMinds system AlphaGo cracked the ancient and complex Chinese game Go sooner than expected. <\/p>\n
And progress continues in 2017. <\/p>\n
Neil Jacobstein, faculty chair of Artificial Intelligence and Robotics at Singularity University, hit the audience at Singularity Universitys Exponential Manufacturing Summitwith some of the more significant updates in AI so far this year. <\/p>\n
DeepMind, for example, recently outlined a new method called Elastic WeightConsolidation (EWC) to tackle catastrophic forgetting in machine learning. The method helps neural networks retain previously learned tasks. <\/p>\n
And a project out of Newcastle University is taking object recognition to the next level. The researchers have created a system thats hooked up to a robotic hand, which is learning how to uniquely approach and pick up different objects. (Think about the impact this technology may have on assembly lines.) <\/p>\n
These are just two of a number of developments and advances moving AI ahead in 2017. <\/p>\n
For those worried AI has become overhyped, we sat down with Jacobstein after his talk to hear firsthand about progress in the field of AI, the practical applications of the technology that hes most excited about, and how we can prepare society for a future of AI. <\/p>\n
Image Source: Shutterstock <\/p>\n
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Watch: Where AI Is Today, and Where It's Going in the Future - Singularity Hub<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" 2016 was a year of headlines in artificial intelligence. A top-selling holiday gift was the AI-powered Amazon Echo; IBM Watson was used todiagnosecancer; and Google DeepMinds system AlphaGo cracked the ancient and complex Chinese game Go sooner than expected. Continue reading