All articles tagged with #primo
"Primo" is a family comedy about a single mother raising her son with the help of her five brothers. Some of the actors who play Rafa's uncles asked to play other uncle roles depending on the characters' personalities they preferred. Created by author Shea Serrano, all eight episodes of Primo Season 1 are available on Freevee.
"Primo," a new coming-of-age comedy based on the life of journalist and author Shea Serrano, premieres on Amazon's Freevee streaming service. The show follows a young Mexican American high school student as he navigates cultural norms, societal expectations, and the chaotic home life of being raised by his single mom and five uncles. Serrano, one of the show's creators, hopes that audiences will see the universal appeal of the show and not just focus on its Latino characters. "Primo" is part of Serrano's growing portfolio of TV and film projects, including a limited podcast series for Amazon Studios and his first feature film, "Miguel Wants to Fight," which will premiere on Hulu this year.
Astronomers have used machine learning to improve the Event Horizon Telescope’s first black hole image, aiding in black hole behavior understanding and testing gravitational theories. The new technique, called PRIMO, has potential applications in various fields, including exoplanets and medicine. The researchers say the new image should lead to more precise determinations of the mass of M87’s black hole and the extent of its event horizon and accretion ring.
Scientists have used machine learning to enhance the first-ever photo of a black hole, captured in 2019 by the Event Horizon Telescope Collaboration. The new image, released in The Astrophysical Journal Letters, shows a "skinny" doughnut with a darker and larger central region surrounded by a bright ring. The machine learning algorithm, called PRIMO, analyzed over 30,000 high-resolution simulated images of black holes to fill in the gaps of the original image. The new image can help scientists make more accurate measurements of the black hole's mass and understand its behavior.
Scientists have used a machine learning technique called PRIMO to enhance the first-ever image of a supermassive black hole captured by the Event Horizon Telescope collaboration. PRIMO maximizes the resolving possibilities of the existing array of telescopes by using dictionary learning to teach computers specific rules. The technique was used to analyze over 30,000 high-fidelity simulated images of “gas accreting onto a black hole” to find common patterns among the tens of thousands of simulated images. The new image is consistent with the EHT data and with theoretical expectations, including the bright ring of emission expected to be produced by hot gas falling into the black hole.
Researchers have used machine learning to improve the first photo of a black hole captured by the Event Horizon Telescope in 2017. The new method, called PRIMO, uses data based on what we know about the universe's physical laws to produce a more accurate image. The updated portrait of the black hole at the center of the galaxy Messier 87 shows a thinner ring of light and matter surrounding its center, consistent with Albert Einstein's predictions. The researchers expect further research in machine learning and telescope hardware to lead to additional revisions.
The iconic image of the M87 supermassive black hole has been given a makeover using a new machine learning technique called PRIMO (principal-component interferometric modeling). The technique compensates for missing information in the original 2017 data, resulting in a sharper image with greater detail of the central dark region. PRIMO could also improve the resolution of other EHT observations, including the first image of the black hole at the center of our own Milky Way galaxy. The higher resolution will help astronomers more accurately peg the mass of the black hole and enable more robust tests of gravity.