• HOME
  • NEWS
    • BIOENGINEERING
    • SCIENCE NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • FORUM
    • INSTAGRAM
    • TWITTER
  • CONTACT US
Monday, March 8, 2021
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
    • BIOENGINEERING
    • SCIENCE NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • FORUM
    • INSTAGRAM
    • TWITTER
  • CONTACT US
  • HOME
  • NEWS
    • BIOENGINEERING
    • SCIENCE NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • FORUM
    • INSTAGRAM
    • TWITTER
  • CONTACT US
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News

Rice’s Yingyan Lin receives NSF CAREER Award

Bioengineer by Bioengineer
February 22, 2021
in Science News
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Engineer recognized for advances in ubiquitous on-device intelligence and green AI

IMAGE

Credit: Rice University

HOUSTON – (Feb. 22, 2021) – Yingyan Lin, an assistant professor of electrical and computer engineering at Rice University’s Brown School of Engineering, has won a National Science Foundation (NSF) CAREER Award to make deep learning hardware accelerators more efficient and its development faster.

CAREER Awards, among the most competitive offered by the NSF, are typically given to fewer than 400 young scientists and engineers each year across all disciplines. According to the agency, they support “early career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.”

The five-year grant for $400,000 will support Lin and her lab’s efforts to advance a new paradigm in the design of deep learning accelerators that could largely automate the process and boost their achievable hardware efficiency. That will push forward ubiquitous intelligent devices and green artificial intelligence (AI), she said.

“The past half-decade has witnessed unprecedented breakthroughs in deep learning algorithms, representing the state of the art in many applications such as computer vision, natural language processing and data mining tasks,” Lin said. “Despite the great promise of ubiquitous deep learning powered intelligence, there is a vast and increasing gap between the prohibitive complexity of powerful deep learning algorithms and the constrained resources in daily life devices.”

She said training deep learning algorithms meanwhile often demands a prohibitive amount of costly energy and contributes to pollution, limiting the rapid development of innovations and raising environmental concerns.

“While deep learning accelerators have the potential to close the gap and push forward green AI, there exists a fundamental challenge,” said Lin, who earned her doctorate at the University of Illinois at Urbana-Champaign. “Deep learning algorithms are invented daily for numerous applications, whereas developing these algorithms’ dedicated accelerators is much slower, as it still mostly relies on human experts’ manual design.”

She believes the solution lies in automatically co-developing the algorithms and their hardware accelerators that would maximize the achievable efficiency and expediate development speed.

Lin, who joined Rice in 2018, specializes in embedded machine learning that aims to make powerful machine learning algorithms more efficient as well as environmentally friendly. In the past two years, she and her students have developed various algorithmic and architectural techniques toward green AI, three of which have been published as spotlight papers (those ranking in the top 3% of submissions) at the International Conference on Learning Representations, a first-tier machine learning conference.

###

Read the abstract at https://www.nsf.gov/awardsearch/showAward?AWD_ID=2048183&HistoricalAwards=false.

This news release can be found online at https://news.rice.edu/2021/02/22/rices-yingyan-lin-receives-nsf-career-award/

Additional Contact:
Mike Williams

713-348-6728

[email protected]

Follow Rice News and Media Relations via Twitter @RiceUNews.

Related materials:

Efficient and Intelligent Computing Lab (Lin group): https://eiclab.net

Rice Electrical and Computer Engineering: https://eceweb.rice.edu

George R. Brown School of Engineering: https://engineering.rice.edu

Image for download:

https://news-network.rice.edu/news/files/2021/02/0222_CAREER-1-WEB.jpg

CAPTION: Yingyan Lin. (Credit: Rice University)

Located on a 300-acre forested campus in Houston, Rice University is consistently ranked among the nation’s top 20 universities by U.S. News & World Report. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy. With 3,978 undergraduates and 3,192 graduate students, Rice’s undergraduate student-to-faculty ratio is just under 6-to-1. Its residential college system builds close-knit communities and lifelong friendships, just one reason why Rice is ranked No. 1 for lots of race/class interaction and No. 1 for quality of life by the Princeton Review. Rice is also rated as a best value among private universities by Kiplinger’s Personal Finance.

Media Contact
Jeff Falk
[email protected]

Original Source

https://news.rice.edu/2021/02/22/rices-yingyan-lin-receives-nsf-career-award/

Tags: Computer ScienceHardwareRobotry/Artificial IntelligenceSoftware EngineeringTechnology/Engineering/Computer ScienceTheory/Design
Share12Tweet8Share2ShareShareShare2

Related Posts

IMAGE

Assessing regulatory fairness through machine learning

March 8, 2021
IMAGE

New discovery explains antihypertensive properties of green and black tea

March 8, 2021

Finding key to low-cost, fast production of solid-state batteries for EVs

March 8, 2021

Oncotarget: High-fat ovariectomized mice susceptible to accelerated tumor growth

March 8, 2021

Leave a Reply Cancel reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

POPULAR NEWS

  • IMAGE

    Terahertz accelerates beyond 5G towards 6G

    701 shares
    Share 280 Tweet 175
  • People living with HIV face premature heart disease and barriers to care

    86 shares
    Share 34 Tweet 22
  • Global analysis suggests COVID-19 is seasonal

    39 shares
    Share 16 Tweet 10
  • HIV: an innovative therapeutic breakthrough to optimize the immune system

    36 shares
    Share 14 Tweet 9

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Tags

Public HealthGeneticsTechnology/Engineering/Computer SciencecancerMedicine/HealthInfectious/Emerging DiseasesMaterialsChemistry/Physics/Materials SciencesEcology/EnvironmentCell BiologyBiologyClimate Change

Recent Posts

  • Assessing regulatory fairness through machine learning
  • New discovery explains antihypertensive properties of green and black tea
  • Finding key to low-cost, fast production of solid-state batteries for EVs
  • Oncotarget: High-fat ovariectomized mice susceptible to accelerated tumor growth
  • Contact Us

© 2019 Bioengineer.org - Biotechnology news by Science Magazine - Scienmag.

No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

© 2019 Bioengineer.org - Biotechnology news by Science Magazine - Scienmag.

Welcome Back!

Login to your account below

Forgotten Password?

Create New Account!

Fill the forms below to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In