Zengchang QIN / Director, Intelligent Computing and Machine Learning Lab, Beihang University

Last updated on profile page : May 12th, 2016


Besides his responsibilities in Directeur, Intelligent Computing and Machine Learning Lab, Qin Zengchang is Associate Professor at the School of Automation Science and Electrical Engineering of Beihang University and Vice Director of Beihang Education and Training Centre at Beihang University.

He earned his master’s degree and Ph.D. at the University of Bristol. He is the Postdoctoral Fellow at the University of California Berkeley. He was Visiting Scholar of Carnegie Mellon University and Oxford University.

His fields of expertise include data mining, cross-model multimedia retrieval and natural language processing. He has published one English book, edited one thesis analects and around 80 professional articles. He has also contributed to professional technology consulting work on machine learning, big data and artificial intelligence.

By Zengchang QIN on Paris Innovation Review

Artificial intelligence (AI) research has gained major headways over the past few decades. Relevant technologies have grown from being just lab myths to mass market products. Some computing technologies are sophisticated enough to replace human minds and solve real world problems. Regardless of the professional systems widely adopted in areas such as national defence, finance and medicine, search engines, social networks and apps on smart phones are the real vehicles that have allowed the public to feel the massive power of AI. Whether it is for academy or industry, AI talents detected that this renaissance would bring a different historic meaning to the technology. With Google, Baidu and other tech giants joining the ranks, the public has given different interpretations of AI from their own perspectives, with some of them being off track. Which stage has AI technology reached? Is the arrival of machine intelligence a blessing or a curse?
La recherche sur l’intelligence artificielle (IA) a fait l'objet d'avancées majeures ces dernières années. De simples légendes de laboratoire sont devenues des produits de masse qui ont envahi le marché. Certaines technologies informatiques sont désormais suffisamment sophistiquées pour remplacer l'esprit humain et résoudre certains défis pratiques du quotidien. Où en est aujourd'hui l'intelligence artificielle? Que peut-on en attendre?


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