Baidu CEO Robin Li today gave the world a peek at China’s first Level 4 autonomous driving passenger cars, co-developed by Baidu and carmaker FAW Hongqi. Li introduced the vehicles at the 2018 Baidu World Conference in Beijing. The cars will enter mass production by the end of 2019, and their road debuts will be in Beijing and FAW Hongqi’s hometown of Changchun.
A founding member of Google Brain and the mind behind AutoML, Quoc Le is an AI natural: he loves machine learning and loves automating things. Le used millions of YouTube thumbnails to develop an unsupervised learning system that recognized cats when he was a Stanford University PhD in 2011.
If you’ve ever wondered whether Dota 2 or League of Legends is the most popular multiplayer online battle arena game, or how long you’d need to spend on a treadmill to burn off that party size bag of chips you just ate, you know that you can probably find the answer by accessing a couple of relevant information sources and then applying what seems like a natural and straightforward reasoning process.
Facebook announced today that it is open-sourcing QNNPACK, a high-performance kernel library optimized for mobile AI. The computing power of mobile devices is but a tiny fraction of that of data center servers. As such it is essential to find ways to optimize mobile devices’ hardware performance in order to run today’s compute-hungry AI applications.
Baidu today announced plans for a comprehensive self-driving taxi and bus service in Changsha, the capital of southern Hunan province and birthplace of Mao Zedong. Baidu has signed a partnership agreement with the Changsha Municipal People’s Government and Hunan Xiangjiang New Area Development Group that aims to reinvent the local commute.
Information retrieval (IR) is the activity of retrieving information from a collection of sources stored on computers, based on user queries. IR enjoys a history of one century , and serves as the heart of many ubiquitous applications such as web search, product recommendation, and personal feeds on social networks.
In April the NIPS organizing committee announced that it was considering a name change and began collecting opinions and suggestions from the AI research community. Yesterday, the final results of the poll were disclosed along with the announcement that there would be no name change.
Tencent AI Lab has announced an open-source NLP dataset comprising vector representations for eight million Chinese words and phrases. The dataset aims to provide large-scale and high-quality support for deep learning-based Chinese language NLP research in both academic and industrial applications.
Peer review is an essential process that subjects new research to the scrutiny of other experts in the same field. Today’s top Machine Learning (ML) conferences are heavily reliant on peer review as it allows them to gauge submitted academic papers’ quality and suitability.
According to the National Retail Federation there were approximately 3.8 million retail stores that provided more than 42 million jobs in the US in 2016. Retail store sales are forecasted to grow 3.4 percent this year, although this trails the 7-10 percent sales rise expected from E-commerce sites.
DeepMind announced today that it has opened its Graph Nets (GN) library to the public, enabling the use of graph networks in TensorFlow and Sonnet. Graph Nets is a machine learning framework that was published by DeepMind, Google Brain, MIT and University of Edinburgh on Jun 15.
The slogan of Arlington, Texas is “American Dream City,” and as residents start their commute this morning some may wonder if they are in fact dreaming. A fleet of futuristic autonomous vehicles today began chauffeuring Arlingtonites along city streets in self-driving startup Drive.ai’s latest public road testing project.
The DeepMimic paper’s first author, Berkeley PhD student Xue Bin Peng, has now open-sourced the project’s codes, data, and frameworks. Moreover, Peng’s new research demonstrates that DeepMimic’s simulated characters can also learn to perform highly dynamic movements by using regular video clips of human examples as input data.
Xilinx believes one solution is its recently-released, cutting-edge 7nm programmable chip Versal. The chip is based on Xilinx Adaptive Compute Acceleration Platform (ACAP) technology and built with 7nm FinFET manufacturing process technology, integrating the Arm Cortex-A72 and Cortex-R5, an AI engine and DSP engine.
The Massachusetts Institute of Technology (MIT) today announced they will invest US$1 billion into a new college for artificial intelligence. The MIT Stephen A. Schwarzman College of Computing will “constitute both a global center for computing research and education, and an intellectual foundry for powerful new AI tools.”
Founded in 1999, Tokyo-based DeNA has developed popular platforms and services for gaming, E-commerce, automotive, healthcare and entertainment content distribution. As AI continues transforming all things digital, DeNA is expanding its deep learning tech capabilities to support R&D on new techniques.
Virtual personal assistants have become an integral part of our everyday lives. So much so that some people want to take the relationship with their digital friend to the next level. A new Business Insider article reveals that over one million people asked Amazon’s Alexa to marry them in 2017.
Last month’s ReWork Deep Learning Summit in London provided a peek at current recent research progress and future trends in artificial intelligence technologies. The two-day event featured top scientists and engineers from Facebook, MIT Media lab, DeepMind and other leading institutes.
A Shanghai Jiao Tong University research team has announced the world’s first software for photonic analog quantum computing and simulation. “Feynman Photonic Analog Quantum Simulation” (FeynmanPAQS) is named after renown quantum physicist Richard P. Feynman.
The company made a series of AI-related announcements today at the Huawei Connect 2018 Conference in Shanghai, introducing two AI chips and a machine learning framework. Huawei’s AI push is expected to intensify its battle with domestic rivals Alibaba, Tencent and Baidu in the AI market.