We tend to notice the AI that’s in our smartphones, powering our home assistants or piloting self-driving cars. But there is another tech revolution going on — out of sight for most of us — wherein AI and robotics are reinventing entire factories and industrial processes.
Earlier this week the Association for Computational Linguistics (ACL) 2018 announced its Best Two Short Papers, neither of which had yet been published. Today the AI community got its first look at one of the winners when Know What You Don’t Know: Unanswerable Questions for SQuAD was released on arXiv.
Microsoft is working on a bias-detecting tool which can alert people if an AI algorithm might be treating them unfairly based on their race or gender. As more and more decisions are being made by or based on AI, the detection of unfair biases has become an important public issue.
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.”