责任编辑：张国帅据台湾媒体报道，日本近日曝出建筑物抗震数据造假的油压机厂家KYB，于本周五（19号）坦陈，将未符合标准的减震及隔震装置唯一外销给了台湾。据《日本经济新闻》报道，KYB子公司Kayaba System Machinery社长广门茂喜坦言，从2003年1月到2018年9月，为了达到日本国家认定标准，公司篡改“Oil Damper”液压减震器的性能数据。
In terms of academic accomplishments, Geoff has more than 250,000 citations, with more than half in the last five years. He has an astoundingly high H-index of 142. He was the co-inventor of the seminal work on Boltzmann Machines and backpropagation using gradient descent (published in 1983 with Terry Sejnowski, and the Nature paper with David Rumelhart in 1986). This work introduced the idea of hidden layers in neural networks, along with a mathematically elegant and computational tractable way to train their affiliated parameters. Hidden layers freed the software from “human control” (such as expert systems) and back propagation allowed non-linear combination to essentially discover prominent features (in a more goal-directed way than humans) in the process. However, it turned out that these ideas were before their time, as there were not enough data or computing power to enable these theoretical approaches to solve real-world problems or beat other approaches in competitions. The early-1980's were dominated by expert systems, which became discredited in by late-1980's when they were proven to be brittle and unscalable. What displaced expert systems was not Geoff's proposals (which were too early), but simplified versions of neural networks which were compromised to work with less data and computation. My Ph.D. thesis (using hidden Markov models) was among them, and these simplified approaches were able to make some contributions with some applications, but like expert systems, they were not able to scale to the hardest problems (such as playing Go, human-level speech or vision).