‘AI in Action’ | Toronto Hosts AI Squared Forum 2019
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.
Tag: Tsinghua University
Nature Cover Story | Chinese Team’s ‘Tianjic Chip’ Bridges Machine Learning and Neuroscience in Pursuit of AGI
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.
Ask AI: Is Bob Dylan an Author or a Songwriter?
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.
ICLR 2019 | Tsinghua, Google and ByteDance Propose Neural Networks for Inductive Learning & Logic Reasoning
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.
Bengio at Tsinghua University on Maturing Deep Learning and BabyAI
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.
Tsinghua University Proves Quantum Supremacy on GANs
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 University Publishes Comprehensive Machine Translation Reading List
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 Paper Identifies AI Chip Trends & Bottlenecks
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.”
New Report Says Chinese AI is Rich in Funding but Short on Talents
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.
Reproducing Japanese Anime Styles With CartoonGAN AI
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.
Tsinghua University Launches Institute For AI; Hires Google’s Jeff Dean As Advisor
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.
Law Schools Are Catching Up With AI Legaltech
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.