台灣之光AI Explore於國際醫療競賽展現世界頂尖精準Auto AI

  AI Explore Super AUTO AI HPC platform provides the AI infrastructure for smart healthcare, smart manufacturing, and smart city, enabling real-time analysis of gigabyte building customized AI model in a short time. In addition to our amazing speed, its accuracy is world-class outstanding. In 2019 MICCAI PAIP, with limited 50 training images, AI Explore Auto AI produces world leading AI system defeating 926 international AI teams, including Pfizer, 12 sigma tech, Florida U., Tokyo U and ranks top 0.9% in the leaderboard.

   In 2019 IEEE ISBI ACDC, AI Explore Auto AI also defeats 435 teams worldwide, including 49 AI companies, using only 33 training images and ranks as the top 1.8%.

   AI Explore Auto AI outperforms the AI systems by world-leading AI teams in the United States, University of Maryland, Russia SKYCHAIN, London St. Mary's University and the other top European and American AI teams at the International AI Competition.

   AI Explore is the world’s leading terapixel platform (24x faster than Leica, 117x faster than Microsoft HDview) with super fast AI deep learning system (3,600 times faster than existing systems, which tends to cost at least half hour to process a gigapixel image), allowing real time analysis of terapixel images through internet on any portable device. In addition, customized AI models could be built fast and efficiently. AI models could be improved continuously by adaptive learning in mins (20,160 times faster than existing AI systems, which tend to cost two weeks to train an AI model on terapixel images). With special medical image AI training technology, AI models could be built based on limited amount of data. Smart evolving AI is available!

  王靖維教授團隊AI Explore Auto AI平台的少量資料自動建模,展現世間頂尖AI判讀技術,再次於2019 MICCAI國際影像競賽PAIP擊敗926個國際團隊,排名全世界前0.9%.

  王靖維教授團隊開發超高速AI Explore Auto AI平台,秒速分析全景域病理影像,不僅速度驚人,更於世界前兩大國際醫學影像AI競賽,展現世界頂尖精準AI判讀。

  1. 2019年10月世界第一大國際醫療AI競賽MICCAI PAIP肝癌病理影像競賽,使用少量50筆影像自動建模,產生精準AI模型,擊敗全球926個團隊,更勝過美國pfizer、12sigma tech、美國佛羅里達大學、緬因大學、日本東京大學、韓國浦項工科大學等,排名世界前0.9%。

  2. 2019年4月的世界第二大國際醫療AI競賽IEEE ISBI,使用少量33筆影像自動建模,擊敗全球435個團隊,勝過美國馬里蘭大學、俄羅斯SKYCHAIN、倫敦聖瑪莉大學等歐美頂尖AI團隊,排名世界前1.8%。

© AI Explore Team 2019