免费看黄色大片-久久精品毛片-欧美日韩亚洲视频-日韩电影二区-天天射夜夜-色屁屁ts人妖系列二区-欧美色图12p-美女被c出水-日韩的一区二区-美女高潮流白浆视频-日韩精品一区二区久久-全部免费毛片在线播放网站-99精品国产在热久久婷婷-午夜精品理论片-亚洲人成网在线播放

New ecosystem platform launched to empower big data, AI researchers

Source: Xinhua| 2019-08-25 09:42:41|Editor: ZX
Video PlayerClose

LOS ANGELES, Aug. 24 (Xinhua) -- The Global Association for Research Methods and Data Science (GRMDS) has launched a new ecosystem platform this week to empower big data and artificial intelligence (AI) researchers worldwide.

The platform aims to help researchers solve problems in data science through the application of methodologies developed by the GRMDS, a leading non-profit organization in data science.

Such methods include Research Methods Four Elements (RM4Es), namely Equation, Estimation, Evaluation of Models and Execution/Explanation, as well as ResearchMap, which maps out the necessary procedure for research projects.

A high rate of project failure faces data scientists due to several reasons, such as mismanagement or lack of coordination, low supply of competent data scientists, lack of appropriate practical training, not enough data, low data maturity and replication crisis, said Alex Liu, GRMDS managing director and Chief Data Scientist for IBM in an interview with Xinhua on Saturday.

The ecosystem platform aims to address these challenges, and empower the public to better apply AI technologies in such areas as countering extreme climate and responding to natural disasters, according to Liu.

"Our ideal ecosystem consists of at least three elements: data portal, computing platform, and data scientist community, which users can join for free and get access to all our events and other resources," Liu said.

The platform will evaluate each user's social and economic impacts by its unique Impact Score, according to the GRMDS.

The GRMDS helps researchers and data scientists worldwide to excel in a new era of big data and cognitive computing. More than 32,000 users worldwide have joined an online forum of the GRMDS to discuss research methodology, data science and innovations.

TOP STORIES
EDITOR’S CHOICE
MOST VIEWED
EXPLORE XINHUANET
010020070750000000000000011100001383363251