AI Technology & Industry Review
A new study from Shanghai’s Transportation Information Center (STIC) and Shanghai Jiao Tong University uses Graph Recurrent Neural Networks (GRNN) for high-accuracy traffic prediction and city traffic control.
Just two weeks before its 32nd annual meeting and one month after it said it wouldn’t, the Conference on Neural Information Processing Systems has changed in its official acronym — from “NIPS” to “NeurIPS.”
Researchers from Japanese electronics giant Sony have trained the ResNet-50 neural network model on ImageNet in a record-breaking 224 seconds — 43.4 percent better than the previous fastest time for the benchmark task.
Synced Global AI Weekly Nov 18th
Deep Learning has become an essential toolbox which is used in a wide variety of applications, research labs, industries, etc. In this tutorial given at NIPS 2017, the speakers provide a set of guidelines which will help newcomers to the field understand the most recent and advanced models and their application to diverse data modalities.
A Google engineer has used AI to enable humans to throw virtual punches and kicks at the tough guys in popular fighting video game Mortal Kombat3. Instead of jabbing at a controller, the user fights via a web camera, with the AI rendering their air strikes to an onscreen clone in real time. You punch and kick, and Kano goes down.
Head of R&D of Google Cloud AI Jia Li has left her position with the company. Li informed Synced in a text message yesterday and the Google team confirmed her departure this morning.
New research from Carnegie Mellon University, Peking University and the Massachusetts Institute of Technology shows that global minima of deep neural networks can been achieved via gradient descent under certain conditions. The paper Gradient Descent Finds Global Minima of Deep Neural Networks was published November 12 on arXiv.
One of the top minds in machine learning, Andrew Ng is having an increasingly profound impact on AI education. Ng’s machine learning course at Stanford University remains the most popular on Coursera, the world-leading online education platform he co-founded in 2012.
Artificial general intelligence (AGI) is the long-range, human-intelligence-level target of contemporary AI researchers worldwide. It’s believed AGI has the potential to meet basic human needs globally, end poverty, cure diseases, extend life, and even mitigate climate change. In short, AGI is the tech that could not only save the world, but build a utopia.
China’s respected Peking University will open a new campus with a focus on artificial intelligence and engineering, Xinhuanet has reported. The new campus is set to occupy an area of nearly 4.15 million square metres (approximately 128 football fields) and will be located in Changping, a district situated in the suburbs of northwest Beijing.
Analog quantum computing has been an appealing tool with potential real-life applications on various optimization and simulation tasks, and much less stringent requirements on error corrections compared to universal quantum computing.
10 Things You Must Know from November W 1 – W 2
Synced Global AI Weekly November 11th
To address the aging problem farmers are turning to “smart agriculture” labour-saving techniques and devices and large-scale production. Artificial intelligence is playing an important role in accelerating and improving the technologies driving Japan’s smart agriculture.
Synced surveyed a number of 2019 AI residency programs that may be of interest to readers.
Researchers from the University of California, Santa Barbara, and the University of Chicago have published a paper which identifies the risk of bad actors using smartphones’ WiFi signals to “see” through walls and surreptitiously track humans in their private rooms and offices.
In a Politburo group study session last week Chinese President Xi Jinping identified seven sectors where AI promises huge potential, asserting “AI is a key driving force of the new round of scientific revolution and industrial reform.”
The 5th World Internet Conference kicked off in Wuzhen, Zhejiang, China today, with state-run Xinhua News Agency and leading search service provider Sogou jointly unveiling the world’s first “AI Synthetic Anchor,” a highly realistic AI-generated newscaster.
In the 1950s the philosophy informing the futuristic vision of autonomous vehicles was to “make the road guide the car” via electronics and mechanical devices embedded in high tech roadways.
The European Patent Office (EPO) has issued official guidelines on the patenting of artificial intelligence and machine learning technologies. The guidelines became valid on November 1st, 2018.
Google DeepMind has announced that its project with London’s Moorfields Eye Hospital will now include working with clinicians to predict eye diseases before symptoms occur.
Tencent AI Lab unveiled its new intelligent microscope for pathological analysis yesterday at the Tencent Global Partner Conference in Nanjing. The device represents a huge step in the company’s ongoing commitment to ramp up its R&D in AI + medicine.
RE•WORK organized the second Canadian edition of its RE•WORK Global DL Summit Series in Toronto on October 25 – 26. The event attracted over 600 attendees from more than 20 countries who joined conversations with leading AI and Deep Learning experts.
Sorting a bunch of differently coloured toy trucks and action figures seems like child’s play, right? Unfortunately this remains a challenging task in the world of machine learning. So why not have humans simply show the machines how to do it?
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.
10 Things You Must Know from October W 3 – W 4
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 [1], and serves as the heart of many ubiquitous applications such as web search, product recommendation, and personal feeds on social networks.
It’s known that deep neural network models — mostly discriminative models — are prone to making poor predictions with high confidence when they encounter data distribution scenarios that vary too much from their training data.
A new paper from Julia Computing Co-Founder and CTO Keno Fischer and Senior Research Engineer Elliot Saba introduces a method and implementation for offloading sections of Machine Learning models written in Julia programming language to TPUs.
Enter DarwinAI, a Waterloo, Ontario based AI startup which recently released a beta version of an automated machine learning solution it says can generate models ten times more efficiently than comparable state-of-the-art solutions.
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.
Today, we are excited to announce STACL (Simultaneous Translation with Anticipation and Controllable Latency), the first simultaneous machine translation system with anticipation capabilities and controllable latency.
Stanford University has announced that the Director of the Stanford Artificial Intelligence Lab (SAIL) and Stanford Vision Lab Dr. Fei-Fei Li will co-direct the California university’s new Human-Centered AI Initiative (HAI).
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.