A research team from the University of Southern California and Google proposes TOME, a “mention memory” approach to factual knowledge extraction for NLU tasks. A transformer model with attention over a semi-parametric representation of the entire Wikipedia text corpus, TOME can extract information without supervision and achieves strong performance on multiple open-domain question answering benchmarks.
Over the past three months, criticism and protests have been mounting over Google’s participation in Project Maven, a Pentagon pilot program to build machine learning models to detect and categorize objects in drone footage provided by the US Department of Defense.
At the Computing Conference 2018 Shanghai Summit today, Alibaba Cloud announced the launch of its AI program ET Agricultural Brain, a step towards the interactive automation of pig farming, aiming at continuously embedding AI technologies into modern agriculture.
The galloping progress in artificial intelligence has stirred up widespread public concern over unemployment and displacement. One can see however that humans have a surprisingly long history of fearing intelligent machines and their potential societal impacts.
Chinese tech conglomerate Alibaba announced in April that it would launch Alibaba Law School, integrating big data teaching methods with legal education. As we await updates, law programs around the world have already begun re-designing their curriculums to better fit the age of big data and AI.
GcForest, a decision tree ensemble approach that is much easier to train than deep neural networks, has received a lot of attention from researchers since it was introduced by Prof. Zhihua Zhou and his student Ji Feng last year. Based on their previous work, Zhou, Feng and Nanjing University colleague Yang Yu have now proposed Multi-layered Gradient Boosting Decision Trees (mGBDTs).
Synced recently spoke with Delian Capital Senior Vice President Xuesong Fan about the current status of automated driving startups. Fan graduated from Harbin Engineering University and worked for years on Chinese satellite engineering. In 2015 came down to earth, applying his experience to self-driving car investments.
David Danks commented on self-driving vehicle testing on the streets of his Pittsburgh neighbourhood: “They’re boring. You don’t notice them anymore because you see them five to ten times every day. People started to walk more and more frequently directly in front of the Uber cars, disproportionately more than they would ever in front of a human-driven car.”
This week Andrew Ng tweeted that his Stanford University team had developed a model that is “comparable to the best radiologist performance in detecting abnormalities on finger and wrist studies. However, model performance is lower than best radiologist performance…
Suzhou-based Ecovacs Robotics debuted on the Shanghai Stock Exchange today. The floor sweeping and window cleaning robot company issued 40.1 million shares at US $3.13 per share, and plans to use the funds raised via its IPO to produce four million home service robots, build an IoT ecosystem, and expand into the global market.
In his keynote at the Tencent Cloud Service Summit 2018 in Guangzhou today, Tencent Founder and CEO Pony Ma introduced his company’s new Super Brain platform and a Three Nets cloud concept comprising the “Internet of Things,” “Internet of Humans” and “Internet of Intelligence.”
Founded in 2009, SlamTech is a Shanghai-based laser sensor manufacturer whose main products include the low-cost 360-degree laser scanning ranging radar RPLiDAR, the laser-based modular autonomous positioning navigation solution SLAMWARE, and the ZEUS robot service platform for business.