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.
Compared to SMT, NMT can train multiple features jointly and does not need prior domain knowledge, enabling zero-shot translation. In addition to higher BLEU score and better sentence structure, NMT can also help reduce morphology errors, syntax errors, and word order errors of SMT.
This paper, presented at the RE-WORK Deep Learning in Retail & Advertising Summit in London, provides a detailed explanation on related work, system architecture, and model improvement with embeddings enabled feature learning.
We interviewed Mr. Qiang Dong, chief scientist of Beijing YuZhi Language Understanding Technology Co. Ltd. and learned more about their YuZhi NLU Platform that conducts its unique semantic analysis based on concepts rather than words.
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.
Andrew Ng, one of the top minds in deep learning, loves teaching. And so, the Stanford University professor decided toContinue Reading
CVPR 2017 conference covered topics in: Machine Learning, Object Recognition & Scene Understanding – Computer Vision & Language, 3D Vision, Human Analyzing, Low- & Mid- Level Vision, Image Motion & Tracking: Video Analysis, Computational Photography, Applications.
Although food packaging comes with nutrition labels, it’s still not convenient for people to reference. Thus, scientists started to use machine learning algorithms in computer vision to help people determine the caloric value in the food they eat.
In contrast to traditional approaches that use infrared or structured light along with the aforementioned hardware, SensePose needs only ambient light and a regular RGB camera lens.
The paper proposes a hybrid neural machine translation model concerning both words and characters, which mainly contributes to the translation of rare or unknown words.
