Berkeley Haas Professor Sameer Srivastava and co-authors have developed a deep learning model that can identify where and when prescient ideas first emerge.

Berkeley’s Institute for Data Science, Graduate School of Journalism, and partners will collect, curate and make accessible records that a 2019 state law unlocked for the public.

Dubbed “the Woodstock of Hackathons,” the event was hosted by Berkeley’s premiere startup accelerator, Berkeley SkyDeck, and Cal Hacks, a nonprofit that runs collegiate hackathons.

To Celeste Kidd the answer is simple: It’s dangerous and perhaps the most concerning aspect of generative AI’s rapid expansion. 

A new study shows that, even lacking good error correction, there are ways to mitigate errors that could make quantum computers useful today.

In the recently published paper, I School Associate Professor David Bamman reveals much about what is known and remains to be known about the large language model (LLM) fueling ChatGPT. 

Combining the field of economics with statistics and computer science, Michael Jordan’s lecture aims to provide a broader conceptual foundation for emerging real-world artificial intelligence systems.

Five UC Berkeley faculty members will join the AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION).

Sergey Levine delivered the second of four Distinguished Lectures on the Status and Future of AI.

New research shows that AI systems can process signals in a way that is remarkably similar to how the brain interprets speech.

Professor Sonia Katyal won a Dukeminier Award for her article “The Gender Panopticon: AI, Gender, and Design Justice".

Professor Deirdre K. Mulligan has been tapped to join the White House’s Office of Science and Technology Policy as Deputy U.S. Chief Technology Officer for Policy.

Chemists have created a new type of material from interlocking molecules that for the first time allows the synthesis of extensive 2D or 3D structures.

ChatGPT is changing the ways teachers educate students, scientists trust research and journalists report the news. It passed the U.S. Medical Licensing Exam and an exam to receive a business master’s degree.

A new study found that young Black men with no college education earn barely half of what their Asian American and white counterparts make. Latinx, Asian and Black women lag even further.

CEE Professors Maria Laura Delle Monache and Alexandre M. Bayen discuss their research on the impact of AI-equipped vehicles on traffic jams and fuel consumption.

An interdisciplinary team of industry and academic researchers led by Professor Alexandre Bayen has completed its most ambitious real-time traffic experiment to date

In a massive traffic experiment scientists tested whether introducing just a few AI-equipped vehicles to the road can help ease “phantom” jams and reduce fuel consumption for everyone. The answer seems to be yes.

Using advances in machine learning, two separate teams have developed approaches to shorten in-the-field training for quadruped robots in record time.

The first annual ACM conference spotlighted work where algorithms and data-driven approaches, alongside social sciences and other fields, can help solve equity and access issues affecting historically disadvantaged and underserved communities.

Aaron Streets has been named to Popular Science’s Brilliant 10, honoring trailblazing early-career scientists and engineers.

Andrew Reddie has launched the Berkeley Risk and Security Lab (BRSL), thanks to a $1.8M grant from the Founders Pledge Fund

A new UC Berkeley institute will bring together top machine learning and chemistry researchers to make this vision a reality, and a Bay Area foundation is providing a substantial gift to launch and enable this work at UC Berkeley over the next five years.

Building data tools that allow people without programming backgrounds to benefit from the latest computer science advances, the EPIC Data Lab – short for Effective Programming, Interaction, and Computation with Data, a new UC Berkeley Lab, is collaborating with end-users like public defenders to understand what important messy data challenges exist in their fields.

Machine learning using artificial intelligence has improved computer translation over the past decade, but scientific articles employing specialized jargon are still a challenge for machine translation. Nevertheless, scientists should prioritize translating articles into multiple languages to provide an equitable landscape for budding scientists worldwide, UC Berkeley researchers argue.

In a study presented at the 2022 USENIX Security Symposium, Raluca Ada Popa, associate professor, and her Ph.D. student, Jean-Luc Watson, described their innovative privacy-preserving approach to machine learning.

UC Berkeley and Imperial College London have won $5 million to create an international, interdisciplinary center aimed at advancing decentralization technology that offers users more control of their data.

In a study presented at the 2022 International Conference on Machine Learning, a UC Berkeley-led research team revealed that certain recommender systems try to manipulate user preferences, beliefs, mood and psychological state

Tuskegee University and UC Berkeley recently announced the Berkeley-Tuskegee Data Science Initiative, a multi-year partnership to develop curriculum and collaborative research opportunities for students and faculty at both institutions.

Plenoxels surpass NeRF in every way — from their speed to their image quality — which may broaden their potential for consumer, industry and scientific applications.

For years, UC Berkeley snow hydrologist Manuela Girotto has combined disparate remote sensing datasets from satellites into models to understand snow as a water resource. In an era of extreme drought and climate change, her work is increasingly urgent. A recent rapid expansion of available observations from space could unlock important insights. But integrating that amount of data into researchers’ existing models is difficult. So when Berkeley computer science doctoral candidate Colorado Reed reached out asking how artificial intelligence could help, she saw an opportunity.

UC Berkeley formally launched this week The Sky Computing Lab aimed at establishing a two-sided market mediated by services that identify and harness for users the best combination of compatible clouds for their needs and building a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry.

To find out how much interest there is in at-home medication abortions, researchers from UC Berkeley analyzed Google searches during 2020—the first year of the COVID-19 pandemic—to determine the extent to which people searched for out-of-clinic medication abortions in the U.S. through three initial search terms: home abortion, self abortion, and buy abortion pill online.

The number of people leaving California for other states appears to have slowed during the last quarter of 2021, while the number of people moving into the state appears to be rebounding, according to new estimates released today by the nonpartisan California Policy Lab (CPL) using credit-bureau data through the end of 2021.

The Association for Computing Machinery (ACM), the world’s largest scientific and educational computing society, has awarded UC Berkeley professor Pieter Abbeel the 2021 ACM Prize in Computing for his foundational work in robot learning.

A new research center at the University of California, Berkeley, funded by alumni Eric and Wendy Schmidt, will tackle major environmental challenges including climate change and biodiversity loss by combining data science and environmental science.

Significant advances in artificial intelligence (AI) over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at the University of California, Berkeley, and the University of Texas at Austin.

UC Berkeley-led researchers used mobile phone data and machine learning to quickly and accurately direct the Togolese government’s COVID-19 cash assistance to its poorest residents in a first-of-its-kind study published March 16 in Nature.

Leveraging support from the Laboratory Directed Research and Development (LDRD) program at Lawrence Berkeley National Laboratory (Berkeley Lab), a team of researchers in the Computing Sciences Area has developed a new software tool for conducting hyperparameter optimization (HPO) of deep neural networks while taking into account the prediction uncertainty that arises from using stochastic optimizers for training the models.

UC Berkeley announced that the campus will be home to a new Kavli Center for Ethics, Science, and the Public, which, alongside a second center at the University of Cambridge in the United Kingdom, will connect scientists, ethicists, social scientists, science communicators and the public in necessary and intentional discussions about the potential impacts of scientific discoveries.

The University of California, Berkeley, and the University of California, San Francisco, today (Oct. 20, 2021) jointly launched a new, one-of-a-kind program in computational precision health, a significant step toward advancing this new field and, ultimately, improving the quality and equity of health care.

Videos of squirrels leaping from bendy branches across impossibly large gaps, parkouring off walls, scrambling to recover from tricky landings are not just more YouTube content documenting the antics of squirrels. Researchers at UC Berkeley are capturing video of squirrels as part of their research to understand the split-second decisions squirrels make to elude deadly predators, research that could help with development of robots with better agility and control.

The National Science Foundation has awarded $20 million over five years to the Georgia Institute of Technology, the University of California, Berkeley and the University of Southern California to establish the National Artificial Intelligence (AI) Institute for Advances in Optimization. The award is among 11 new National AI Research Institutes announced today by NSF.

More than 700 imaging satellites are orbiting the earth, and every day they beam vast oceans of information to databases on the ground. There’s just one problem: Only those with considerable wealth and expertise can access it. Now, a UC Berkeley team has devised a machine learning system to tap the problem-solving potential of satellite imaging that could bring access and analytical power to researchers and governments worldwide.

Our understanding, planning, and response to wildfires benefit from connections with data and computing sciences. Recent developments in machine learning and simulations can help first responders detect fires earlier, predict fires’ paths and limit blazes quickly. Through collaborations with practitioners in other fields like microbiology and forest management, these tools are answering previously intractable questions about fires that can inform policy and practice.