GSTDTAP  > 地球科学
Department of Energy Announces $20 Million to Develop Artificial Intelligence and Machine Learning Tools
admin
2019-04-05
发布年2019
语种英语
国家美国
领域地球科学
正文(英文)

ARPA-E Looks to Accelerate Incorporation of Artificial Intelligence and Machine Learning into Energy Technology

WASHINGTON, D.C. – Today, the U.S. Department of Energy’s (DOE’s) Advanced Research Projects Agency-Energy (ARPA-E) announced up to $20 million in funding to accelerate the incorporation of machine learning and artificial intelligence into energy technology and product design processes.

The Design Intelligence for Formidable Energy Reduction Engendering Numerous Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) program seeks to enhance energy innovation by incorporating artificial intelligence and machine learning into energy technology development.

“Artificial intelligence and machine learning has the potential to literally transform every aspect of the world as we know it, and accelerating this technology is crucial to strengthening our country’s economic and national security,” said U.S. Secretary of Energy Rick Perry. “DOE-fueled artificial intelligence is being utilized across all sectors, from strengthening cybersecurity and national security, increasing energy efficiency, optimizing grid security and resiliency, and developing innovative health solutions.  The DIFFERENTIATE program is the latest example of DOE paving the way towards the New American Energy Era.”

In order to organize these efforts, DIFFERNTIATE identifies six general mathematical optimization problems that are common to many design processes. It then conceptualizes several machine learning tools that could help engineers execute and solve these problems in a manner that dramatically accelerates the pace of energy innovation. These projects will seek to develop enhanced artificial intelligence and machine learning tools. Proposals are expected to explicitly identify a selected challenge problem, an anticipated solution, a data acquisition strategy, major development risks, and an anticipated path to market for the final tool or software utility developed.

Up to $5 million of the $20 million allocated by ARPA-E under this funding opportunity will be made available specifically for small businesses under ARPA-E’s Small Business Innovation Research (SBIR) program, with the $15 million balance available to all applicants.

View more of DOE’s work in Artificial Intelligence HERE. To learn more about ARPA-E’s DIFFERENTIATE program and to apply for funding, visit ARPA-E eXCHANGE.

###

News Media Contact: (202) 586-4940

URL查看原文
来源平台Department of Energy
文献类型新闻
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/133437
专题地球科学
推荐引用方式
GB/T 7714
admin. Department of Energy Announces $20 Million to Develop Artificial Intelligence and Machine Learning Tools. 2019.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[admin]的文章
百度学术
百度学术中相似的文章
[admin]的文章
必应学术
必应学术中相似的文章
[admin]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。