AI Technology & Industry Review
The digital painting tool GANpaint has gone viral on social media. The product of a team of high-profile researchers from MIT, IBM, Google, and the Chinese University of Hong Kong, GAPpaint allows anyone — even those with little knowledge of digital painting or photoshop — to “paint” incredibly complex and detailed photorealistic scenes.
Magenta Studio is a Google Brain project “exploring the role of machine learning as a tool in the creative process.” The Google Brain team created the open-source music-making package using machine learning models.
In a near future, when self-driving cars have replaced human drivers, it’s believed that high-definition (HD) maps can play a similarly useful role, as “the memory of robot drivers”.
Synced Global AI Weekly November 25th
Intel’s open-source programming function computer vision library OpenCV has released the first stable version in its 4.0 line. The community has waited for more than 3.5 years for the update.
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.
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.
10 Things You Must Know From October W 1 – W 2
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.”
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.
In conjunction with yesterday’s release of open source AI software framework PyTorch 1.0, leading deep learning course developer Fast.ai has announced its first open source library for deep learning — fastai v1.
Researchers from MIT, Google, and Xian Jiaotong University recently published a paper proposing AutoML for Model Compression (AMC), which leverages reinforcement learning to shorten model compression processing time and improve results.
A hearty round of applause arose from the crowd packing the Vancouver Rogers Centre on August 22 when a team of unassuming scientists wearing “OpenAI” T-shirts climbed up on stage.
Registration opened at 8:00 a.m. PDT today for December’s NIPS 2018 (Conference on Neural Information Processing Systems) in Montreal. The early birds were the fortunate ones this year — as tickets for the main conference were all snapped up less than a dozen minutes later.
At the Google For India 2018 conference in New Delhi yesterday Google launched its AI platform Navlekha, which enables publishers to make offline Indian language content fully editable and streamlines the online publishing process.
The Technical University of Munich (TUM) had lured Cheng from a Japanese research institute. At TUM he founded the Institute of Cognitive Systems (ICS). With eight employees in a central office on Karlstraße 45, Cheng set to work on his arduous task: recreating the complexities of human skin and wiring it all to a brain.
The US Department of Energy’s Oak Ridge National Laboratory in Tennessee today introduced the world’s fastest supercomputer Summit, whose computing power reaches 200 petaflops or 200 million billion calculations per second.
Compute Scoreboard:
AlexNet 1
AlphaZero 300,000
Chinese AI and humanoid robotic company UBTECH Robotics today announced a staggering US$820 million in Series C funding. With its new estimated value of US$5 billion, Shenzhen City-based UBTECH becomes the world’s most valuable AI startup.
One of the most attention-grabbing displays at CES 2018 is “Joel,” a body inside a vacuum-sealed plastic bag, curled up in the fetal position and peacefully waiting for a consciousness.
It’s no surprise that tech companies are eager to stay abreast of AI developments. When they’re not luring AI talents with huge compensation packages, they’re on the lookout for AI startups suitable for acquisition.
According to a study by Wuzhen Institute, there are 2,905 artificial intelligence companies in the United States, 709 in China, 366 in Britain, 233 in India, 228 in Canada, 173 in Israel, and 160 in Germany.
This glossary currently includes a total of 743 specialized AI terms based on machine learning concepts and terminologies.
On November 6 in Beijing, China’s rising semiconductor unicorn Cambricon released new state-of-art AI processors.
Google’s AlphaGo Zero Masters the Game of Go with No Human Knowledge; Apple and GE Partner to Bring Predix Industrial Apps to iPhone and iPad; MIT Media Lab’s AI Can Now Write Horror Stories!
Beijing-based Horizon Robotics’ A-plus series funding round is expected to raise US$100 million by year’s end.
While tech giants like Google and Amazon are setting the pace in AI R&D these days, startups can also find success by targeting niche markets
09/05 — Google Updates Its Street View Cameras with AI and Machine Learning Google just upgraded its street view camera for the firstContinue Reading
Last month, it was widely reported that two Facebook chatbots had been shut down after communicating with each other in an unrecognizable language.
Synced meets the people transforming a former steel town into a metropolis powered by artificial intelligence and robotics.
Google, Apple, Walmart, Intel, Baidu, Alibaba, Siemens, Salesforce, IBM: August digest from industry giants
China’s biggest domestic mobile phone maker, Huawei, is now powering its phones with artificial intelligence (AI) engines. The Chinese techContinue Reading
Marek Rosa’s dream is to create a machine that improves itself recursively to achieve an intelligence level humans cannot imagine, allowing it to tackle problems of any scale.
Some experts from different fields stated their concerns that with the rapid rise of artificial intelligence in the next few decades, intelligent robots would take over the human world and extinguish the entire human culture.
The ShuffleNet utilizes pointwise group convolution and channel shuffle to reduce computation cost while maintaining accuracy. It manages to obtain lower top-1 error than the MobileNet system on ImageNet classification, and achieves ~13x actual speedup over AlexNet while maintaining comparable accuracy.
Synced sat down with Christopher Fabian, the co-founder of UNICEF’s for-profit Innovation Fund, in Geneva, where he took us through the Innovation Fund’s innovative mandate.
Hosted annually in the United States, the Computer Vision and Pattern Recognition Conference received 2,620 submissions, accepted 783 papers, attracted 127 sponsors with $859,000 in sponsorship and close to 5,000 attendees.
We explore top-notch Swiss AI facilities: starting with deep learning and neural network research at IDSIA in Lugano, to interdisciplinary research at École Polytechnique Fédérale de Lausanne and University of Basel, and ending with robotics innovations at ETH in Zurich and University of Zurich.
From LSTM deep learning technique to self-learning humanoid robot, Jürgen Schmidhuber’s research teams have won awards in various machine learning competitions, including medical image recognition.