Category: AI

Global machine intelligence updates.

AI Research United States

IBM Builds the World’s Largest Facial Image Dataset to Battle Bias in AI

IBM today announced it will release the world’s largest facial attribute dataset in order to fight bias in artificial intelligence systems used to recognize human faces. The dataset was built by IBM research scientists and contains one million images, five times the image count of the current largest facial attribute dataset. It will be publically available this fall.

AI China Conference

Tencent Academic and Industrial Conference 2018 in Stockholm [Tencent X Synced]

The Tencent Academic and Industrial Conference (TAIC) will be held in Stockholm, Sweden on July 14th, gathering top AI researchers and young professionals from around the world. Synced is organizing the conference, where Tencent’s seven core business groups and invited academics and industry professionals will share insights on the current state of AI technologies.

AI China

Alibaba’s Cainiao Flexes its Logistics Muscles at GSLS 2018

Cainiao, the logistics arm of leading Chinese e-commerce platform Alibaba Group, hosted the 2018 Global Smart Logistics Summit (GSLS) in Hangzhou on May 31st. Speaking at the event, Alibaba founder and executive chairman Jack Ma called for tens of billions of US dollars in investment to build a national internet-based intelligent logistics backbone in China.

AI

Law Schools Are Catching Up With AI Legaltech

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.

AI Research

Nanjing University Team Introduces Multi-layered Gradient Boosting Decision Trees (mGBDTs)

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).