An AI-powered loan forecasting solution developed by Ryan Chen and Yupeng Zheng (Team Boston Power) topped the field at this year’s JDD (JD.com Discovery) 2017 Global Data Challenge, winning the first prize of US$45,000.
Some experts from different fields stated their concerns that with the rapid rise of artificial intelligence in the next few decades, intelligent robots would take over the human world and extinguish the entire human culture.
In his blog post “How Data Science Apply to Robotics” on Data Science Central, Dr. Ammar A. Raja points out that there are two major problems scientists have encountered while applying data science to robotics.
“We want to be able to train a machine learning model, like Google Translate, in a few hours,” said Prof. Hwu. Best known for enabling the parallelism capability of the GPU to solve scientific problems like AI.
“The Internet is just an appetizer, whereas AI is the real entrée. The latter is not a part of the internet, not the second stage of the internet; it is technological revolution comparable to the industrial revolution.” – Robin Li, CEO of Baidu.
Professor Richard Sutton is considered to be one of the founding fathers of modern computational reinforcement learning. He made several significant contributions to the field, including temporal difference learning, policy gradient methods, and the Dyna architecture.