AI Technology & Industry Review
Analyzing papers and patent data collected from top AI journals and conferences, 44 in total from 2011 to 2020, Tsinghua University’s new AI development report revealed new statistical insights.
Researchers from Tsinghua University have developed an AutoML framework and toolkit specifically designed for graph datasets and tasks.
Shum will speak at China’s Tsinghua University in Beijing, where he will formally assume a Dual-Professorship position with the prestigious school’s Institute for Advanced Study.
On September 22 about 300 artificial intelligence (AI) and deep learning enthusiasts gathered at the University of Toronto Bahen Centre for Information Technology for the AI Squared Forum 2019.
Today, respected scientific journal Nature boosted the case for AGI with a cover story on a new research paper, Towards artificial general intelligence with hybrid Tianjic chip architecture, which aims to stimulate AGI development by adopting generalized hardware platforms.
Researchers from Tsinghua University and Huawei Noah’s Ark Lab recently proposed a new model that incorporates knowledge graphs (KG) into training on large-scale corpora for language representation.
Although machine learning has achieved huge advances in speech recognition, gaming and many other applications, some critics still regard it as little more than glorified “curve fitting” that lacks high-level cognitive abilities and reasoning skills.
Last November Synced ran an interview with Yoshua Bengio, in which the deep learning maverick, Université de Montréal Professor and MILA Scientific Director discussed his research and commented on the current state of deep learning and AI.
Many scientists believe that a quantum computing device will one day perform highly complex computational tasks which are far beyond the ability of today’s classical computers.
Tsinghua Natural Language Processing Group (THUNLP) has published a great reading list for any budding AI researchers whose New Year’s resolution is to study machine translation. The list compiles the most influential machine translation papers from the past 30 years, spotlighting the 10 most important contributions to the development of machine translation.
Tsinghua University and Beijing Innovation Center for Future Chips (BICFC) recently published their White Paper on AI Chip Technologies, “to inform readers about the competing technologies and the development trends of AI chips.”
The country is aiming to build the world’s top hub for AI innovations and talents, and yesterday, prestigious Tsinghua University issued a progress report. The 2018 China Artificial Intelligence Development Report provides an insightful, data-intensive overview of the current status of AI in China.
From Hayao Miyazaki’s Spirited Away to Satoshi Kon’s Paprika, Japanese anime has made it okay for adults everywhere to enjoy cartoons again. Now, a team of Tsinghua University and Cardiff University researchers have introduced CartoonGAN — an AI-powered technology that simulates the styles of Japanese anime maestri from snapshots of real world scenery.
China’s prestigious Tsinghua University is opening a dedicated AI research centre. The Tsinghua University Institute for Artificial Intelligence will be led by Dean Bo Zhang (张钹) of the Chinese Academy of Sciences, and Tsinghua Director of Academic Committee Andrew Chi-Chih Yao (姚期智), a Turing Award Laureate. The announcement was made at today’s Tsinghua-Google AI Symposium in Beijing.
Chinese tech conglomerate Alibaba announced in April that it would launch Alibaba Law School, integrating big data teaching methods with legal education. As we await updates, law programs around the world have already begun re-designing their curriculums to better fit the age of big data and AI.