computer science

The UCLA Institute for Pure and Applied Mathematics will host a workshop on the many implications of doctored content, Nov. 15-16.

A who’s who of computer scientists, engineers, technologists, activists and thinkers gathered at UCLA to celebrate the internet’s 50th birthday.

The event is being held exactly a half century after a team led by UCLA professor Leonard Kleinrock sent the first message over the Arpanet — the precursor to today’s internet.

UCLA researchers have developed a much faster and more accurate method to evaluate the formation of a bacterial community, known as a microbiome.

The UCLA-led group has created an online resource guide to help scientists in lower-income countries jumpstart research programs.

UCLA professor talks about how the event promotes software literacy within the visual arts, and visual literacy within technology-related fields, while increasing accessibility for all.

Five experiments by UCLA psychologists demonstrate the severe limitations of ‘deep learning’ machines.

The framework takes images from a simple, inexpensive microscope and produces images that mimic those from more advanced and expensive ones.

To help the new system “learn” more like people do, the engineers immersed it in an internet replica of the real world.

“The platform is like a motion detector for the microscopic world because of its ability to lock onto any moving objects in a fluid sample,” said Yibo Zhang, a UCLA doctoral student and the study’s first author.

In this Q&A, director of the UCLA Game Lab Eddo Stern discusses the lab’s origins and what projects they’re sending to the Victoria and Albert Museum.

The bioinformatics approach the team used to uncover the weed killer could potentially be used to find new drugs for antibacterial medicines.

Professor Judea Pearl writes about how the current data-crunching approach to machine learning misses an essential element of human intelligence.

The process analyzes several possible risk scenarios to help doctors more thoroughly assess people who could be candidates for heart transplants.

In this Q&A about “The Book of Why,” UCLA’s Judea Pearl shares how understanding causality plays a vital role in developing artificial intelligence.

Bruin Code Summer Academy will offer 30 students from Mann UCLA Community School an opportunity to learn programming.

The statistical analysis software the researchers have designed is more precise and reliable than previous methods.

UCLA professor of musicology David MacFadyen is a champion of blockchain and how it could influence the future study and scholarship in arts and literature.

UCLA’s Jane Margolis and Julie Flapan use research to help policymakers devise equitable and effective strategies to scale up diversity in computer science.

The new technique sheds light on the materials the artist used, and the order in which they were applied to the painting. It also helped scientists uncover insights about the painting’s connections to other work from the same era.

The new technique produces better images than current methods, and it’s easier to implement because it requires fewer measurements and performs computations faster.

John Villasenor on why the Australian government’s recent push to force technology companies to break into end-to-end encryption is futile.

The finding could provide the perfect vehicle for carrying qubits of data in quantum computing.

“The dream is to have an array of hundreds or thousands of qubits all working together to solve a difficult problem,” said graduate student Joshua Schoenfield. “This work is an important step toward realizing that dream.”

While women have made significant gains in many fields, including medicine, business and law, the percentage of women who receive CS degrees is the smallest across all STEM fields, according to the U.S. Department of Education.