Fake AI vs. Real AI
The AI boom has seen countless companies scrambling to jump on the bandwagon — even if their products have little to do with AI.
AI Technology & Industry Review
The AI boom has seen countless companies scrambling to jump on the bandwagon — even if their products have little to do with AI.
The global market for this versatile, high-precision, long-distance measuring “eye” will reach US$36 billion in 2030.
Attention is simply a vector, often the outputs of dense layer using softmax function.
This paper laid out the position of Machine Teaching, a universally accessible, easy to manage, and fast discipline proposed by Microsoft Research, and articulated the fundamental machine teaching principles.
The “Baidu AI Developers Conference” (Baidu Create 2017) was held July 5 at the China National Convention Center in Beijing.Continue Reading
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
In applying the adversarial training, this paper adopts distributed word representation, or word embedding, as the input, rather than the traditional one-hot representation. The reason lies in the fact that the higher dimensionality the input has, the more likely it is to be disturbed by noise.
In this paper, the author aims to design a smart way to handle rare/unknown words in the bilingual training data during machine translation.
As more companies bet on AI, computer scientists with AI expertise are coming into demand on the job market.
09/05 — Google Updates Its Street View Cameras with AI and Machine Learning Google just upgraded its street view camera for the firstContinue Reading
Notable wearables today include Fitbit wristbands, the Apple watch, Google Glass, and Playstation VR — all of which have gained great market shares. As the data-collecting portal to the IoT, wearables hold many future possibilities.
This paper is the implementation of ‘encoder-decoder reconstructor framework’ for neural machine translation for the English-Japanese translation task.
Last month, it was widely reported that two Facebook chatbots had been shut down after communicating with each other in an unrecognizable language.
This October, Ant Financial and Synced are co-hosting the ATEC Developer Creativity Challenge for developers to showcase creativity using Alipay Mini-program.
The latest iPhone struts its AI strength with three new features: Face ID, for facial recognition; Animoji, an emoji animator; and a new camera exposure mode called portrait lighting.
Jianxiong Xiao (肖健雄), founder of startup AutoX, developed his first self-driving car in six months with seven cameras costing a total of just US$500.
Recently NASA announced that their Frontier Development Laboratory (FDL) would cooperate with Intel to apply deep learning for space exploration.
In this paper, we present a survey on language models, which mainly consists of count-based and continuous-space language models.
Recently, CNNs have been successfully used in estimating optical flow. Compared with traditional methods, these methods achieved a large improvement in quality. Here, we will give a brief review on the following papers.
Synced meets the people transforming a former steel town into a metropolis powered by artificial intelligence and robotics.
InfiniteBoosting overcomes the disadvantages of both bagging and boosting, thus slightly improves the performance. Its most important aspect is its adaptability.
Google, Apple, Walmart, Intel, Baidu, Alibaba, Siemens, Salesforce, IBM: August digest from industry giants
RACECAR is a Powerful Platform for Robotics Research and Teaching. It is one of the greatest university courses in this field.
“I am tempted by Alibaba’s large pool of business scenarios and huge user base,” says Xiaofeng Ren.
China’s biggest domestic mobile phone maker, Huawei, is now powering its phones with artificial intelligence (AI) engines. The Chinese techContinue Reading
The goal of this report is to inspire our readers in the field of distributed machine learning and invite more to join our discussion to exchange knowledge and contribute to our intellectual community.
The blog author, Rob Farber, has been working on machine learning and related fields as a staff scientist, and participating in relating projects since the 1980s.
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.
This article reviews two recent attempts on introducing deep learning models into location-aware computing, effectively reducing expert involvement.
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.
This paper proposes a learning algorithm to speed up search in Task and Motion Planning problems (TAMP), and to solve three challenges in order to improve planning efficiency.
Autonomous wheelchair developed by researchers at MIT and in Singapore promises improved independence for the disabled Abstract After building self-drivingContinue Reading
In the article “Memory, attention, sequences”, the author predicts that future work on neural networks will emphasize understanding complex spatio-temporal data from the real world, which is highly contextual and noisy.
Recently, at an IEEE Conference, MIT researchers proposed a new control method which provides easier and more stable feedback that does not necessarily require existing limbs to control the artificial limbs.
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.
Amber Garage’s HoloKit is quickly positioning itself as a market stimulator. Just as Google Cardboard increased access and interest in virtual reality, so might HoloKit for augmented reality.
This paper proposes not only a method as a useful tool but also a new concept for modeling complex annotation as a simple polygon.
In this report, we will touch on some of the recent technologies, trends and studies on deep neural network inference acceleration and continuous training in the context of production systems.
This method, with considerable computation time and controllable model size, is particularly simple and very useful for implementations on mobile devices such as phones, drones, etc.
International Joint Conference on Artificial Intelligence (IJCAI) 2017 will be held in Melbourne, Australia from August 19 to August 25, summoning top researchers from around the world.