Sunday, September 28, 2025
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Technology and Engineering

Computer scientist William Wang receives prestigious early career technical achievement award

April 16, 2024
in Technology and Engineering
Reading Time: 3 mins read
0
William Wang Pierre-Simon Laplace Early Career Technical Achievement Award
66
SHARES
599
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

(Santa Barbara, Calif.) — As artificial intelligence continues to boom, scaling algorithms to ever-increasing data sets also becomes a bigger hurdle. Such is the case in the domain of natural language processing (NLP), or, the effort to get machines to understand and communicate with human language (think: ChatGPT, search engines and other text-based modalities).

William Wang Pierre-Simon Laplace Early Career Technical Achievement Award

Credit: UC Santa Barbara Courtesy Photo

(Santa Barbara, Calif.) — As artificial intelligence continues to boom, scaling algorithms to ever-increasing data sets also becomes a bigger hurdle. Such is the case in the domain of natural language processing (NLP), or, the effort to get machines to understand and communicate with human language (think: ChatGPT, search engines and other text-based modalities).

“A key challenge in this domain is the tradeoff between scalability and accuracy,” said UC Santa Barbara computer scientist William Wang, who specializes in NLP. “While faster algorithms often compromise accuracy, more accurate models tend to be slower. Achieving a balance between these two aspects is critical yet challenging.” Thanks to the diversity of human expression, AI language models can often trip over things like ambiguity, slang, sarcasm, irony, translations, multiple meanings and other vagaries of human speech, or the models can take too long in interpreting them to be useful.

Wang’s considerable work to develop scalable algorithms that are both swift and accurate couldn’t be more necessary. And for his efforts, he has been awarded the Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Society’s (SPS) Pierre-Simon Laplace Early Career Technical Achievement Award. He recently received this award in April, in Seoul, Korea.

“I’m extremely honored for this major award from IEEE SPS, and I have been a big fan of Laplace’s work,” said Wang, who was cited “for contributions to the development of scalable algorithms in natural language processing.” The award “honors an individual who, over a period of years in his/her early career, has made significant contributions to theory and/or practice in technical areas within the scope of the Society.”

Addressing problems in structured learning — in which the AI model is expected to predict multiple outputs per data input — has been a focal point of Wang’s research. “This is notably difficult due to the vast search space,” he said. The Wang Lab’s recent work with logic programs streamlines the process by utilizing in-context learning by large language models to enhance accuracy and reduce hallucinations (nonsensical outputs), without the need for further optimization algorithms. Another recent achievement involves an algorithm that accelerates the speed at which text-to-image models can predict output from novel data.

Laplace’s work — the 18th-19th century French scholar is known for, among other things, advances within the realm of statistics and probability — plays a big role in Wang’s career, from creating constraints on data sets, to improving accuracy, to inferring variables based on observed data. The Wang research group’s recent paper at the NeurIPS 2023 conference uses Laplace’s signature Bayesian interpretation of probability to elucidate the emergent behavior of large language models.

Wang, who holds the campus’s Duncan and Suzanne Mellichamp Chair in Artificial Intelligence and Designs, and is also the director of UCSB Center for Responsible Machine Learning and of the UCSB NLP group, looks forward to further improving how AI can learn and interpret language.

“Scalable algorithms are vital for the advancement of AI,” he said. “Current state-of-the-art models in AI, including large language models and generative algorithms, are not optimally efficient in training and inference. Future AI development hinges on innovations in algorithms and architecture, promising more efficient training and inference processes for upcoming AI models.”



Share26Tweet17
Previous Post

Trash to treasure – researchers turn metal waste into catalyst for hydrogen

Next Post

Using generative AI, Insilico Medicine discovers new class of Polθ Inhibitors for BRCA-deficient cancers

Related Posts

blank
Technology and Engineering

Respiratory, Feeding Challenges Extend Stay in 33–36 Week Infants

September 27, 2025
blank
Technology and Engineering

Revolutionary Numerical Method for PEMFC Model Inversion

September 27, 2025
blank
Technology and Engineering

Co-doped MnFe2O4: Temperature Effects on Conductivity

September 27, 2025
blank
Technology and Engineering

Advanced Battery Temperature Estimation via Optimized Algorithms

September 27, 2025
blank
Technology and Engineering

Long-Term Multi-Organ Effects of Early Corticosteroids

September 27, 2025
blank
Technology and Engineering

Manifold Design Enhances Coolant Flow in Fuel Cells

September 27, 2025
Next Post
Novel Polθ Inhibitors for BRCA-deficient Cancers

Using generative AI, Insilico Medicine discovers new class of Polθ Inhibitors for BRCA-deficient cancers

  • Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27560 shares
    Share 11021 Tweet 6888
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    969 shares
    Share 388 Tweet 242
  • Bee body mass, pathogens and local climate influence heat tolerance

    646 shares
    Share 258 Tweet 162
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    512 shares
    Share 205 Tweet 128
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    469 shares
    Share 188 Tweet 117
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Financial Struggles of Parents Caring for Eating Disorder
  • How Multiplayer Gaming Impacts Workplace Loneliness
  • Consuming Fruit Could Mitigate Air Pollution’s Impact on Lung Health
  • Emergency Medicine Professionals Experience Job Satisfaction Despite Challenges with Burnout and Staff Retention

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,185 other subscribers

© 2025 Scienmag - Science Magazine

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
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading