• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, August 2, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
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
Reading Time: 3 mins read
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
Share13Tweet8Share2ShareShareShare2

Related Posts

Gut γδ T17 Cells Drive Brain Inflammation via STING

Gut γδ T17 Cells Drive Brain Inflammation via STING

August 2, 2025
blank

Agent-Based Framework for Assessing Environmental Exposures

August 2, 2025

MARCO Drives Myeloid Suppressor Cell Differentiation, Immunity

August 2, 2025

CK2–PRC2 Signal Drives Plant Cold Memory Epigenetics

August 2, 2025
Please login to join discussion

POPULAR NEWS

  • Blind to the Burn

    Overlooked Dangers: Debunking Common Myths About Skin Cancer Risk in the U.S.

    60 shares
    Share 24 Tweet 15
  • Dr. Miriam Merad Honored with French Knighthood for Groundbreaking Contributions to Science and Medicine

    46 shares
    Share 18 Tweet 12
  • Study Reveals Beta-HPV Directly Causes Skin Cancer in Immunocompromised Individuals

    38 shares
    Share 15 Tweet 10
  • Neuropsychiatric Risks Linked to COVID-19 Revealed

    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

Recent News

Gut γδ T17 Cells Drive Brain Inflammation via STING

Agent-Based Framework for Assessing Environmental Exposures

MARCO Drives Myeloid Suppressor Cell Differentiation, Immunity

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

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

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

Bioengineer.org © Copyright 2023 All Rights Reserved.