AI Technology & Industry Review
“In epidemiology analysis, the relationship between people in space and time is very important,” explains Bao Jie, head of the JD Group city data management platform, “and human activity trajectories are a typical form of spatiotemporal data.”
Tencent Graph Computing (TGraph) officially announced the release of Plato, an open source high-performance graph computing framework that meets the ultra-large-scale graph computing requirement of billion-level nodes.
MIT and Brown have now upgraded the Northstar platform with an AutoML-based component called Virtual Data Scientist (VDS), which helps users generate machine learning models to run prediction tasks on datasets.
SyncedLeg is a tool designed to help with that by mining influential keywords from the corpus with traffic data. A team of Synced interns developed the tool over an internal two-day Hackathon, naming it after their team “机器之腿” (“Machine’s leg” in Chinese).
AI-empowered technologies such as natural language processing (NLP) are increasingly active in the labour-intensive world of call centres — concentrated offices used for sending or receiving a large volume of requests by telephone.
OneClick.ai, a startup founded by two former Microsoft engineers in Seattle, is on a mission to make AI more accessible to businesses. “We design, build and deploy custom AI models as a scalable API that can be accessed from anywhere. Just prepare your data, and we’ll take care of the rest,” says co-founder and CTO Ning Jiang.
In response to a growing shortage of AI talents, Zhang announced that Baidu will train over 100,000 AI talents with expertise in engineering and product development over the next three years.