Berkeley
UC Berkeley's new Twitch studio gives student-athletes a place to build their audiences
Getting Technical with Mashable Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Gift Ideas For Everyone On Your List Say More Versus Trending Now In My Bag Mashable @Home Top creators, ranked Creator Playbook All Series UC Berkeley's new Twitch studio gives student-athletes a place to build their audiences A PS5 lounge and professional cameras are part of Berkeley's plan to help student-athletes become creators. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.
Robot Talk Episode 165 – Robots behind the research, with Kushant Patel
Kushant Patel builds software that helps robots and instruments perceive, map, and move through the physical world. After completing a Master's in Mechatronics Engineering at the University of Waterloo, he spent two years at the University of California, Berkeley teaching quadruped robots to map and inspect nuclear material, and a year at the University of California, Davis building closed-loop brain-computer interfaces. At Brookhaven National Laboratory, he is developing control systems for advanced synchrotron beamlines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.
Sturgill Simpson says talent is 'not as rare as people think' and work ethic matters more
Bills superfan defends OJ Simpson's football legacy after team leaves Juice off its Wall of Fame Sean McVay offers self-deprecating'dropped mic' response as Los Angeles Rams are back in Super Bowl chase Jaxson Dart walks off field after injury, creating an instant contrast to Caleb Williams' emotional exit Nicole Kidman reacts to shocking'Lioness' season 3 finale and the twist nobody saw coming NFL's dumbest moment of Week 2 goes to Jets coach Aaron Glenn who played not to lose at end of regulation Mike Vrabel snaps at reporter over Drake Maye's struggles after Pats win: 'you're not going to ruin my Sunday' Atlanta Falcons are dealing with the worst quarterback situation in the NFL and it isn't even close Fat Bear Week bracket is set: meet the heavyweights, underdogs and defending champ in this year's tournament Riley Green drops 19-track album'That's Just Me' and country music fans can't get enough Attorney reveals Lane Kiffin used ChatGPT for legal advice during LSU's failed bid to add pro players Baker Mayfield loses bet to coach Todd Bowles, has'rough couple of days' including at press conference Falcons star Kyle Pitts Sr predicts CFB players will unionize, says pro players returning to school is'crazy' New trailer for'Other Mommy' with Jessica Chastain reveals a sinister entity terrorizing a young girl'God has been so good to me': Ella Langley reacts to incredible nine CMA Awards nominations Does Caleb Williams Make Craig's Bears QBs Mount Rushmore | The Craig Carton Show Justin Herbert's Girlfriend is More Impressive Than His Quarterbacking | The Craig Carton Show Carton: Bryce Young is Better Than C.J. Stroud | The Craig Carton Show OutKick-Culture Sturgill Simpson says talent is'not as rare as people think' and work ethic matters more Ella Langley discusses releasing a series of singles and building momentum toward her sophomore album during coverage tied to the 2026 iHeartRadio Music Awards held March 26, 2026, at the Dolby Theatre in Los Angeles. Sturgill Simpson doesn't think there's a hidden secret to success in music. Simpson has carved out an incredibly loyal following in the country music industry by singing largely outlaw country tunes. He also released a pair of albums under his alter ego Johnny Blue Skies. 'YELLOWSTONE' STAR LUKE GRIMES REVEALS OUTLAW COUNTRY WAS'NO-GO' IN PASTOR FATHER'S HOUSE BERKELEY, CALIFORNIA - APRIL 24: Sturgill Simpson performs at The Greek Theatre on April 24, 2025 in Berkeley, California.
UC Berkeley professor admits to using AI to edit op-ed about students' math skills
UC Berkeley professor admits to using AI to edit op-ed on students' math skills Zvezdelina Stankova says she used AI to'help edit' an article about some of her students being'five to eight years' behind A math professor at the University of California, Berkeley, criticizing a "severe" math deficiency among students in an op-ed for the San Francisco Standard, admitted to using artificial intelligence to help edit the piece. The Standard published a 2,000-word piece by Zvezdelina Stankova last week, in which the professor said some of her math students were "five to eight years" behind and lacked a "middle school" education on fractions and basic algebra. Stankova said the UC system's test-blind admissions were to blame, suggesting that students who weren't sufficiently prepared for the rigor of Berkeley's mathematics program were admitted because a longstanding benchmark like the SAT had disappeared. Over the weekend, journalists at Berkeley's student newspaper, the Daily Californian, noticed the op-ed's language sounded like AI . According to Berkeley sophomore Francis Luo, they ran it through AI-detection software Pangram, which claimed 33% of the op-ed had been generated or assisted by AI.
The first anti-AI protester to be jailed has a message for OpenAI, Anthropic and Meta: 'Regain your humanity'
The first anti-AI protester to be jailed has a message for OpenAI, Anthropic and Meta: 'Regain your humanity' Wynd Kaufman, 69, chained and locked the front doors of OpenAI's headquarters last year with members of StopAI A n activist who blocked the entrance to one of the world's biggest AI companies is believed to have become the first person jailed for protesting against artificial intelligence as supporters dub her the "Rosa Parks of AI risk". Wynd Kaufman, 69, surrendered herself on Friday to authorities in San Francisco . She was found guilty by a jury for her role in an action last year that saw members of the group StopAI chain and lock the front doors of OpenAI's headquarters in protest against the pursuit of artificial superintelligence. The retired teacher from Berkeley, California, refused to move from a sit-in protest in February 2025 and pleaded not guilty to multiple misdemeanor charges. She was convicted in June of interfering with a business, trespassing with intent to interfere with a business, unlawful assembly and refusal to disburse a riot.
Nobel Prize winner leaving UC Berkeley for new role in China
Things to Do in L.A. Tap to enable a layout that focuses on the article. Omar Yaghi, professor at the University of California, Berkeley, speaks during a media conference in Brussels, Oct. 8, 2025, after being one of three scientists awarded the Nobel Prize in chemistry. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.
A little bird told her: scientist wins 100,000 prize for decoding birdsong
Elie observed and recorded the sounds the zebra finches made and classified the calls according to the situation and the bird that made them. Elie observed and recorded the sounds the zebra finches made and classified the calls according to the situation and the bird that made them. A scientist who decoded the dictionary that a bird uses to communicate has won a $100,000 prize for making progress towards a world in which humans can talk to the animals - without being met with a blank response. Dr Julie Elie at the University of California, Berkeley, was awarded the 2026 Coller-Dolittle prize for two-way interspecies communication after working out the 11 core calls in the zebra finch vocabulary and their meanings. Her work revealed how the birds announce who they are and what they are doing, and recognise one another regardless of what they are saying by using individual signatures.
Robust Estimation Under Heterogeneous Corruption Rates Syomantak Chaudhuri University of California, Berkeley Jerry Li University of Washington Thomas A. Courtade University of California, Berkeley
We study the problem of robust estimation under heterogeneous corruption rates, where each sample may be independently corrupted with a known but non-identical probability. This setting arises naturally in distributed and federated learning, crowdsourcing, and sensor networks, yet existing robust estimators typically assume uniform or worst-case corruption, ignoring structural heterogeneity. For mean estimation for multivariate bounded distributions and univariate gaussian distributions, we give tight minimax rates for all heterogeneous corruption patterns. For multivariate gaussian mean estimation and linear regression, we establish the minimax rate for squared error up to a factor of d, where d is the dimension. Roughly, our findings suggest that samples beyond a certain corruption threshold may be discarded by the optimal estimators - this threshold is determined by the empirical distribution of the corruption rates given.
Meet the Sad Wives of AI
Are you married to a man who's obsessed with AI? If i had to listen to another minute of my husband talking about Claude Code, I might have actually died. It was 11 pm in Berkeley, California, where I was home alone with our 10-month-old daughter, and 2 am in Cambridge, Massachusetts, where he was visiting for his newish job in AI. "JUST LOOK AT THIS!" he shouted. The FaceTime camera zoomed toward a laptop sitting on a hotel bed. I still had to take the dog out. "ARE YOU LOOKING?" he shouted again. I was looking at our real baby. There are two babies in this household now: the small human one and the large language model.
Geometric Analysis of Matrix Sensing over Graphs
In this work, we consider the problem of matrix sensing over graphs (MSoG). As a general case of matrix completion and matrix sensing problems, the MSoG problem has not been analyzed in the literature and the existing results cannot be directly applied to the MSoG problem. This work provides the first theoretical results on the optimization landscape of the MSoG problem. More specifically, we propose a new condition, named the Ω-RIP condition, to characterize the optimization complexity of the problem. In addition, with an improved regularizer of the incoherence, we prove that the strict saddle property holds for the MSoG problem with high probability under the incoherence condition and the Ω-RIP condition, which guarantees the polynomial-time global convergence of saddleavoiding methods. Compared with state-of-the-art results, the bounds in this work are tight up to a constant. Besides the theoretical guarantees, we numerically illustrate the close relation between the Ω-RIP condition and the optimization complexity.