2017年信息科学热点回眸

Summary of hot research topics in information technology in 2017

回顾2017年信息科学的热点：加强学习算法在人工智能领域的应用取得显著效果,量子计算机的竞争已经进入到50量子比特阶段,智能家庭进一步大众化,机器人仿真技术更加成熟。同时2017年信息科学领域也出现了很多挑战,例如：人工智能算法不可避免地受到历史数据所暗藏的人类偏见的影响,互联网假新闻影响到了美国大选,比特币呈现泡沫化升值,威胁计算机用户的勒索病毒也愈演愈烈。

This article samples the hot research topics in information technology in 2017. We review the reinforcement learning that showed great promise in AI application, the quantum computer research which reached a 50 qubit competition stage, smart home that is increasingly popular among general public, and more mature robot simulation technology. Meanwhile, we also experienced major challenges in 2017. For example, AI algorithms were found to be biased due to existing data containing human bias; researchers found fake news had major impact on 2016 U.S. Presidential election; bitcoin value increased dramatically and was more like a bubble; ransomware threatening computer users was getting worse.