Large-Scale Evolution of Image Classifiers
This work proposes a novel neural-evolution algorithm for large scale search.
AI Technology & Industry Review
This work proposes a novel neural-evolution algorithm for large scale search.
AI companies require accurate data for specialized applications, and seemingly little things such as labelling and tagging demand accuracy. At present, only humans are up for the task.
The article discusses about the limitation of using existing GPU to train neural network and how one can improve to train larger model.
Andrew Ng – former Baidu Chief Scientist, Coursera co-founder, and Stanford Adjunct Professor – gave a talk at the Stanford MSx Future Forum.
Dr. Eisaku Maeda, the director of NTT Communication Science Laboratories, was recently interviewed by The Huffington Post, sharing his opinions on AI.
Pittsburgh, “Silicon Valley of the East”, captures the attention of tech giants, talents and investors for the progressive movements in advanced technology and innovation.
Jie Jiang, Tencent’s big data platform director and the chief data expert, gave a speech on Tencent’s third generation open-source computing platform Angel.
Tecent launched their third-generation computing platform in machine learning named Angel, and they would make this platform open source in early 2017.
Synced recently conducted a special interview with the Director of Tencent AI Lab Tong Zhang, to discuss about the strategic position and research focuses in Tencent.
“The Internet is just an appetizer, whereas AI is the real entrée. The latter is not a part of the internet, not the second stage of the internet; it is technological revolution comparable to the industrial revolution.” – Robin Li, CEO of Baidu.
On March 29, The “Joint Laboratory of Language Intelligence and Human Machine Interaction” opened its doors in Beijing. This lab is the result of a collaboration between Chinese AI company Mobvoi and CASIA.
On March 29, 2017, during the 2017 YunQi Computing Conference held in Shenzhen, Alibaba Cloud’s Chief Science Officer Dr Jingren Zhou officially launched the updated version of its machine learning platform “PAI 2.0”, intending to drastically reduce the technical threshold and development cost for AI.
In the spirit of April (Fools), let us see how far down is AI along the path of “fooling” humans.
“Why did I go to such extremes? Because I realized that the future of computing was as much about communications between people wearing computers as it was about preforming colossal calculations.” — Steve Mann
This paper proposed a computationally efficient convolutional layer to upscale the final low-resolution feature map to a high-resolution output.
In this article we will provide some insights of Intel’s recent deep learning products.
This paper proposes an adaptive learning rate algorithm, which utilizes stochastic curvature information of the loss function for automatically tuning the learning rates.
This review will introduce and compare the three commonly used machine learning frameworks: Matlab Neural Network Toolbox, Torch and Tensorflow.
A handful of Chinese scientists, investors and entrepreneurs were invited to talk at the UIUC U.S.-China Innovation & Development Forum last Saturday.
On March 28, Tencent Cloud launched its machine learning platform DI-X, with a goal of providing a one stop shop for its machine learning and deep learning customers.
Andrew McCallum explained how the use of Universal schema can improve knowledge representation and reasoning from natural language.
Noë proposes his ideas towards current neuroscience research using reductionism approach is far from understanding the philosophy behind our consciousness.
Neuromorphic computing, a promising direction for future of computing that emulates human brain to maintain energy efficiency and fast computing speed.
Researchers from Alibaba and UCL have recently published a new study, claiming that multiple game units controlled by artificial intelligence are now able to develop tactics similar to human players using unsupervised learning.
At Rework Machine Learning Summit at San Francisco, speakers from tech giants, as AI research labs and AI-related startups, are invited to present their latest study in machine learning.
Synced got a chance to interview with Dr. Zhou Xi . from personal experience to CouldWalk ‘s development and future trend.
Synced had the opportunity for an exclusive interview with Tecent AI Lab’s senior manager, team lead for Fine Art, Liu Yongsheng.
Rapid rise of AI industry drives extremely huge demand for talents, Chinese AI talents in US are driving attention from worldwide tech giants.
March 2, 2017, the opening ceremony for China’s National Engineering Laboratory of Deep Learning Technology was held on the Baidu Campus.
Canada unveiled a budget of $125 million to launch Pan-Canadian Al Strategy, a new independent institute for AI, Vector Institute.
Google released a method for recovering pictures from low resolution to high resolution using pixel recursive super resolution model.
Compared to simplifying or approximating the solution of a complicated equation, deep learning provides a highly flexible model and might serve as a perfect walk-around method.
David Aslan uses neural network “Deep Style” to transform original photos or paintings into images with other styles.
PrOCTOR integrates chemical properties of a compound and its protein targets, to provide a measure about whether the drugs in clinical trials will fail for toxicity reasons.
The authors introduced a novel approach called deep meta-reinforcement learning (meta-RL) which can rapidly adapt to new tasks.
ArtGAN can generate images with abstract information like images with a certain art style.
This talk presents natural gradient, a new approach to approximate the Fisher matrix by adopting structured probabilistic models.
ERICA, an autonomous android system capable of conversational interaction, and is arguably the most human-like android built to date.
AI must be biased because the knowledge we used in the training process contains traces of our history, including our prejudices.
Between March 8-10, Synced was invited as media guest to attend the Google Cloud NEXT ’17 conference in San Francisco.






































