Chinese technology giant Tencent has open-sourced its face detection algorithm DSFD (Dual Shot Face Detector). The related paper DSFD: Dual Shot Face Detector achieves state-of-the-art performance on WIDER FACE and FDDB dataset benchmarks, and has been accepted by top computer vision conference CVPR 2019.
It did not take long to see the first major AI talent reshuffling of 2019. Multiple sources are now confirming that reputed AI researcher Dr. Tong Zhang left his position as Executive Director of Tencent AI Lab effective December 31. Rumours suggest Zhang might return to teaching.
In the latest of a string of bot versus human video game showdowns, Tencent AI Lab’s Strategical Collaborative AI “Juewu” has beat the world’s top human player in the mobile Real Time Strategy (RTS) game “Arena of Valor.” Tencent published the results in the paper Hierarchical Macro Strategy Model for MOBA Game AI.
Since 2010, the annual ImageNet Large-Scale Visual Recognition Challenge has been the most widely recognized benchmark for testing image recognition algorithms. Tencent Machine Learning picks up the challenge with its new paper Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes.
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.
Farming is becoming a data-centric business powered by artificial intelligence. China’s big tech firms are using neural network-backed computer vision, wearable devices, and predictive analytics algorithms to reimagine pig, chicken, cow, goose, and cockroach farming.
Embedded AI can transform a tabletop speaker into a personal assistant; give a robot brains and dexterity; and turn a smartphone into a smart camera, music player, or game console. Traditional processors, however, lack the computational power to support many of these intelligent features.