High quality AI articles collected in the first half of 2020 – AI + and + AI direction
When AI hits the supply chain
Seven questions about how to use machine learning to do anomaly detection
AI application in medical industry should avoid “garbage in and garbage out”
Academician Ge Junbo: there are still four difficulties in medical AI from “watching, hearing, asking and understanding” to artificial intelligence
Five challenges of artificial intelligence application in medical industry
AI: a new technology subverting the medical industry
feed one ‘s sight on! 11 interesting applications of AI in medical and automotive industries
Five design points of AI imaging diagnosis platform
Thinking about the business model of medical AI products
Professor Yin Guosheng, University of Hong Kong: Medical AI ccf-gair 2019 in the eyes of statisticians
Large scale landing: AI security still has two major pain points
There are still several challenges in the application of AI technology in the security market
AI and machine learning in Finance: use cases in banking, insurance, investment, and user experience
Why is AI still out of reach in these four financial scenarios?
NLP and computer vision in those years of AI education, data shackles have always been a difficulty
Five ways of AI changing future education
enterpriseITIt can really be appliedAIThe place of
Five ways AI reshapes it
5 reasons to use AI in data center
AI era, the future of translation application design
2020, the present situation and future of intelligent container
How enterprises use aiops in their business
What will the deep integration of AI and cloud computing bring?
AI and 5g technologies help smart grid meet security challenges
Note: from January 2020 to July 2020
August 3, 2020 and Suzhou city.