The Data Intelligence and Algorithm Economic Forum, jointly organised by Xi'an Jiaotong-Liverpool University and the Suzhou Large Data Industry Alliance has attracted experts from academic and industrial circles to discuss the prospects of combining artificial intelligence with practical application and its industry development trends.
Professor Hongzhi Wang, an expert in artificial intelligence at Harbin University of Technology, said: “Data analysis is a key step in the process of data to intelligence which turns data into knowledge and this knowledge then drives artificial intelligence forward.”
Professor Wang explained the process of achieving artificial intelligence from data through the examples of Wastona automatic diagnosis and treatment.
He also detailed the important challenges that data analysis has faced posing questions like: How can a scalable analysis be realized? How can rapid change data be analysed? How can multimodal data analysis be realised and how can high quality analysis results be derived from bad data?
Dr Qifeng Zhu, a member of the Recruitment Programme of Global Experts and artificial intelligence specialist, shared his practice on artificial intelligence industry and commented:
“Voice and image recognition is the starting point of deep learning algorithm and application. Based on the reflection of current issues towards hardware, algorithms, tools and data, we realised that artificial intelligence should be industrialised.”
Dr Kaizhu Huang, head of the Department of Electrical and Electronic Engineering at XJTLU and head of Suzhou Municipal Key Laboratory of Cognitive Computation and Applied Technology, added that deep learning has activated the entire artificial intelligence field.
He believes that the current era is the best time in history for artificial intelligence (AI) but that the era of artificial intelligence is yet to be fully achieved.
“The current outbreak of AI is actually driven by applications, and current AI is far away from general AI. The real AI should be cognitive intelligence,” said Dr Huang.
He continued to say that general AI hopes to make machines, without coding knowledge in specific areas, can solve different kinds of issues.
Dr Huang also introduced some achievements by the research institute of artificial intelligence at XJTLU. He said: “The present research focuses on intelligent scene understanding, which means to use sensors to accurately and efficiently detect, recognise and understanding for the real scenarios.’
