Natural Language Processing (NLP) is a hot research area in artificial intelligence and computer science. The technology teaches machines to understand human language so they can more effectively communicate with us. NLP research is integrated with linguistics, context analysis and semantics.
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.
MORE Health is a Silicon Valley-based company that provides access to top international physicians for patients faced with critical illnesses such as cancer or heart disease. The company was founded in 2013, and recently took a leap forward by partnering with Houston-based Melax Technologies…
At the annual Google Cloud Next conference which kicked off July 24 in San Francisco the company unveiled a series of AI-based product releases and enhancements for its analytics and machine learning tools, additional applications on G Suite, and new IoT products.
The country is aiming to build the world’s top hub for AI innovations and talents, and yesterday, prestigious Tsinghua University issued a progress report. The 2018 China Artificial Intelligence Development Report provides an insightful, data-intensive overview of the current status of AI in China.
Microsoft researchers in the US and Asia sent a shockwave through the AI community today with their paper Achieving Human Parity on Automatic Chinese to English News Translation, which introduces a neural machine translation system they say equals the performance of human experts in Chinese-to-English translation.
I purchased a Tmall Genie X1 — Alibaba’s flagship smart speaker — at the discounted price of US$15 during China’s November 11 “Singles Day” shopping festival. I was given order number 560,000-ish, and received the product a month later. The speaker is regularly priced at US$79, about the same as its American counterpart Google Mini.
Word2vec is an open source tool developed by a group of Google researchers led by Tomas Mikolov in 2013. It describes several efficient ways to represent words as M-dimensional real vectors, also known as word embedding, which is of great importance in many natural language processing applications