AI Technology & Industry Review
Chinese multinational power and electrical equipment manufacturing company Shanghai Electric signed a collaboration agreement with Siemens Energy on launching a new smart energy empowerment centre.
Asia Pacific (APAC)’s adoption of artificial intelligence and machine learning in financial markets is accelerating.
South Korea will introduce AI to nationwide high school education in 2021
In EMNLP 2020, a Montreal-based research team introduced a large medical text dataset designed to boost abbreviation disambiguation in the medical domain.
The National Institute of Advanced Industrial Science and Technology (AIST), and RIKEN announced a performance milestone in supercomputing.
Saudi Arabia announced a multibillion-dollar investment strategy in artificial intelligence (AI) and data by 2030 to diversify its oil-based economy.
Beijing Zhiyuan AI Research Institute released the 2020 Beijing AI Development Report, showing that Beijing ranks first nationally in 17 areas, including for having the highest numbers of companies and scholars.
Researchers achieved world-class interface smoothness with a-axis YBa2Cu3O7-x/PrBa2Cu3O7-x/YBa2Cu3O7-x trilayers grown on (100) LaAlO3 substrates.
A new study by South China University of Technology and Tencent WeChat AI researchers is the latest fruitful attempt to utilize transformer architectures in object detection.
A new AI-powered image synthesis framework makes “learning” to moonwalk or drop Blackpink dance moves a snap.
Egypt’s Minister of Communications and Information Technology met with the Ambassador of Hungary in Cairo to discuss boosting cooperation between the two countries in the fields of AI and data science, capacity building, innovation and entrepreneurship, applied research, and cyber-security.
In the next 15 years, global 5G investment and R&D investment will increase by 10.8% from the forecast value in 2019.
Facebook AI is building an automatic differentiation system for the Kotlin programming language and developing a system for tensor typing.
The Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) kicked off on Monday as a virtual conference.
The CoRL 2020 Best System Paper Award was presented today to Huawei Noah’s Ark Lab, Shanghai Jiao Tong University and University College London for their paper SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.
Stylized Neural Painter is a novel automatic image-to-painting translation method that generates vivid and realistic artworks in controllable styles
A new DeepMind scalable environment simulator takes a digital approach to the question, enabling the examination of environmental factors on AI agents.
CoRL 2020 kicked off yesterday and runs virtually through November 18. This year saw 475 papers submitted, a 20 percent rise over 2019.
The Qingdao Port and Wuhan CRRC Yangtze Group held a signing ceremony for the port’s new intelligent air rail.
New Spoken Language Understanding (SLU) research from MIT CSAIL and Amazon AI introduces step-skipping semi-supervised frameworks that take speech as input and achieve performance competitive to systems leveraging oracle text.
China’s shopping spree Single’s Day is becoming a large-scale social digital innovation project, stated Alibaba CTO Cheng Li.
the UK government proposed a new bill that seeks to restrict overseas “malicious investment” from acquiring British companies with strategic importance
“Our research provides enriched AR user experiences by enabling a more fine-grained visual recognition feature in AR, which is desirable in a wide range of application scenarios including technical support,” IBM researchers say.
Google Research and DeepMind debut Long-Range Arena (LRA) benchmark for Transformer research on tasks with long sequence lengths.
Google Brain ICLR 2021 submission analyzes learned optimizers’ performance advantage over well-tuned baseline optimizers.
A new study proposes using human feedback and interaction logs to boost offline reinforcement learning (RL) in natural language processing (NLP).
Shenzhen launched the construction of the Automatic Testing Center for Metro Center which is scheduled to be put into operation in June 2021.
ABB announced an investment of RMB 1 billion to build a new robot super factory in Shanghai, which began construction in 2019.
Google AI yesterday released its Objectron dataset — a collection of short, object-centric video clips capturing a large set of common objects from different angles.
Researchers introduced a modular primitive that uses existing, highly optimized hardware graphics pipelines to deliver performance superior to previous differentiable rendering systems.
Among the top 100 highly cited AI papers in the past five years, China’s output accounted for 21 and rank second globally.
Amazon Alexa AI paper asks whether NLU problems could be mapped to question-answering (QA) problems using transfer learning.
MIT, UChicago, Harvard and Diffeo *Bayesian Delegation* multi-agent learning mechanism enables agents to coordinate behaviour on the fly
DeepMind and Universidade de Lisboa introduce graph-based toolkit for analyzing and comparing multiplayer games
A new AI Expert Roadmap developed by German software company AMAI is garnering keen interest from aspiring AI professionals around the world.
Cornell and Facebook AI “Correct and Smooth” high-accuracy graph learning method is fast to train and outperforms big Graph Neural Network (GNN) models
In a new paper, researchers from Google, OpenAI, and DeepMind introduce “behaviour priors,” a framework designed to capture common movement and interaction patterns that are shared across a set of related tasks or contexts.
A team of researchers from Shanghai Jiao Tong University (SJTU) has built a lightweight benchmark suite designed to help make life-saving models of medical image analysis even stronger.
NeurIPS 2020 Institute of Automation CAS and Microsoft Research Asia paper presents an attention-based decoder that integrates CV object representations
This new deep learning model, MHCAttnNet, uses Bi-LSTMs to predict the MHC-peptide binding more accurately than existing methods.