Sixteen faculty members from UC Berkeley’s Bakar Fellows Program recently took their research ideas to Sand Hill Road — the heart of Silicon Valley’s venture capital community — for a coveted meeting with some of the nation’s top angel investors.
Are humans programmed to tell the truth? Not when lying is advantageous, says a new study led by Assistant Professor Ming Hsu at UC Berkeley’s Haas School of Business. The report ties honesty to a region of the brain that exerts control over automatic impulses.
A new argument has just been added to the growing case for graphene being bumped off its pedestal as the next big thing in the high-tech world by the two-dimensional semiconductors known as MX2 materials.
The White House has given a public nod to a ground-breaking UC Berkeley air-monitoring project and its new collaboration with a Colorado public media platform, which aims to build a citizen-science story-corps to help monitor carbon emissions in the Bay Area.
Earth’s magnetic field, a familiar directional indicator over long distances, is routinely probed in applications ranging from geology to archaeology. Now it has provided the basis for a technique which might, one day, be used to characterize the chemical composition of fluid mixtures in their native environments.
Everyone notices the academic superstars and failures, but what about the tens of millions of American teens straddling these two extremes? A new UC Berkeley study has spotlighted a high school subculture that has made an art of slacking – even with ample educational resources – and may be destined to perpetuate the nation’s struggling lower-middle class.
Since 2006, when NASA’s Stardust spacecraft delivered its aerogel and aluminum foil dust collectors back to Earth, a team of scientists has combed through the collectors in search of rare, microscopic particles of interstellar dust. The team reports they have found seven dust motes that probably came from outside our solar system.
A photo is worth a thousand words, but what if the image could also represent a thousands of other images? New software developed by UC Berkeley computer scientists seeks to tame the sea of visual data in the world by generating a single photo that can represent massive clusters of images.
A project begun some 13 years ago by Jay Keasling, the Associate Laboratory Director for Biosciences at Berkeley Lab and the CEO of the Joint BioEnergy Institute (JBEI), was culminated with an announcement on August 12 from the partnership of Sanofi, the multinational pharmaceutical company, and PATH, the nonprofit global health organization.