Imagine an artificial intelligence (AI) model that can watch and understand moving images with the subtlety of a human brain. Now, scientists at Scripps Research have made this a reality by creating MovieNet: an innovative AI that processes videos much like how our brains interpret real-life scenes as they unfold over time. This brain-inspired AI , detailed in a study published in the on November 19, 2024, can perceive moving scenes by simulating how neurons—or —make real-time sense of the world. Conventional AI excels at recognizing still images, but MovieNet introduces a method for machine-learning models to recognize complex, changing scenes—a breakthrough that could transform fields from medical diagnostics to autonomous driving, where discerning subtle changes over time is crucial. MovieNet is also more accurate and environmentally sustainable than conventional AI. "The brain doesn't just see still frames; it creates an ongoing visual narrative," says senior author Hollis Cline, Ph.D., the director of the Dorris Neuroscience Center and the Hahn Professor of Neuroscience at Scripps Research. "Static image recognition has come a long way, but the brain's capacity to process flowing scenes—like watching a movie—requires a much more sophisticated form of pattern recognition. By studying how neurons capture these sequences, we've been able to apply similar principles to AI." To create MovieNet, Cline and first author Masaki Hiramoto, a staff scientist at Scripps Research, examined how the brain processes real-world scenes as short sequences, similar to movie clips. Specifically, the researchers studied how tadpole neurons responded to visual stimuli. "Tadpoles have a very good visual system, plus we know that they can detect and respond to moving stimuli efficiently," explains Hiramoto. He and Cline identified neurons that respond to movie-like features—such as shifts in brightness and image rotation—and can recognize objects as they move and change. Located in the brain's visual processing region known as the optic tectum, these neurons assemble parts of a moving image into a coherent sequence. Think of this process as similar to a lenticular puzzle: each piece alone may not make sense, but together they form a complete image in motion. Different neurons process various "puzzle pieces" of a real-life moving image, which the brain then integrates into a continuous . The researchers also found that the tadpoles' optic tectum neurons distinguished subtle changes in over time, capturing information in roughly 100 to 600 millisecond dynamic clips rather than still frames. These neurons are highly sensitive to patterns of light and shadow, and each neuron's response to a specific part of the visual field helps construct a detailed map of a scene to form a "movie clip." Cline and Hiramoto trained MovieNet to emulate this brain-like processing and encode video clips as a series of small, recognizable visual cues. This permitted the AI model to distinguish subtle differences among dynamic scenes. To test MovieNet, the researchers showed it video clips of tadpoles swimming under different conditions. Not only did MovieNet achieve 82.3% accuracy in distinguishing normal versus abnormal swimming behaviors, but it exceeded the abilities of trained human observers by about 18%. It even outperformed existing AI models such as Google's GoogLeNet—which achieved just 72% accuracy despite its extensive training and processing resources. "This is where we saw real potential," points out Cline. The team determined that MovieNet was not only better than current AI models at understanding changing scenes, but it used less data and processing time. MovieNet's ability to simplify data without sacrificing accuracy also sets it apart from conventional AI. By breaking down visual information into essential sequences, MovieNet effectively compresses data like a zipped file that retains critical details. Beyond its high accuracy, MovieNet is an eco-friendly AI model. Conventional AI processing demands immense energy, leaving a heavy environmental footprint. MovieNet's reduced data requirements offer a greener alternative that conserves energy while performing at a high standard. "By mimicking the brain, we've managed to make our AI far less demanding, paving the way for models that aren't just powerful but sustainable," says Cline. "This efficiency also opens the door to scaling up AI in fields where conventional methods are costly." In addition, MovieNet has the potential to reshape medicine. As the technology advances, it could become a for identifying subtle changes in early-stage conditions, such as detecting irregular heart rhythms or spotting the first signs of neurodegenerative diseases like Parkinson's. For example, small motor changes related to Parkinson's that are often hard for human eyes to discern could be flagged by the AI early on, providing clinicians valuable time to intervene. Furthermore, MovieNet's ability to perceive changes in tadpole swimming patterns when tadpoles were exposed to chemicals could lead to more precise drug screening techniques, as scientists could study dynamic cellular responses rather than relying on static snapshots. "Current methods miss critical changes because they can only analyze images captured at intervals," remarks Hiramoto. "Observing cells over time means that MovieNet can track the subtlest changes during drug testing." Looking ahead, Cline and Hiramoto plan to continue refining MovieNet's ability to adapt to different environments, enhancing its versatility and potential applications. "Taking inspiration from biology will continue to be a fertile area for advancing AI," says Cline. "By designing models that think like living organisms, we can achieve levels of efficiency that simply aren't possible with conventional approaches."
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From career milestones to new music releases to major announcements and those little important moments, Billboard editors highlight uplifting moments in Latin music. Here’s what happened in the Latin music world this week. See latest videos, charts and news See latest videos, charts and news This week, Thalia was confirmed as part of the “Christmas in Rockefeller Center” lineup, joining The Backstreet Boys, Coco Jones, Jennifer Hudson, and Dan + Shay, to name a few. She is set to perform at the Christmas tree lighting ceremony set to air at 8 p.m. ET on December 4 via NBC. The news comes just weeks after the Mexican star dropping her debut holiday EP, Navidad Melancólica, featuring standout collaboration “Nació La Luz” with Marcos Witt. “I decided to release a Christmas album to transform these dates, which are often charged with social pressure and intense emotions, into a more positive and liberating experience,” the singer and actress said in a statement. “With this album, I seek to accompany those who wish to turn vulnerable moments into joyful and lasting memories. In addition, I saw in this project a beautiful opportunity to immortalize my own experiences, creating a musical legacy full of meaning and happiness.” On the heels of being nominated for best pop vocal album at the 2024 Latin Grammys, performing her vibrant “No_Se_Ve.mp3” at the ceremony, and participating at the Person of the Year gala, where she performed for Carlos Vives, Emilia is on to her next career venture. This time, she forms part of the forthcoming Moana sequel, having her own track called “Al Final” on the Moana 2 movie soundtrack. “It’s a dream. I still can’t believe it,” she expressed on her Instagram account. The Argentine artist previously starred as Sofía in Disney’s Entrelazados (Intertwined). Listen to “Al Final” below. Celebrating 30 years of Intocable, the Texas-based norteño band—known for their rich blends of rock, polka, pop, folk, and cumbia—will be honored with three prestigious recognitions in Texas. In a ceremony set for 6:30 p.m. on November 27 at the Freeman Coliseum in San Antonio, the tejano group will receive an official Proclamation from the Texas Governor’s Office; presented with the Texas Flag by the Texas House of Representatives; and will be named Emissary of the Muses by the city of San Antonio. “These honors celebrate Intocable’s enduring contributions to music and their cultural impact both within Texas and beyond,” reads an official statement. Earlier this week, Gibson announced Venezuelan-American singer-songwriter Joaquina as its new artist spotlight musician. A former Billboard Latin Artist on the Rise and the 2023 Latin Grammy best new artist winner, Joaquina officially joins the program that kicked off this year that highlights an evolving roster of musicians who are celebrated across Gibson’s global channels. ““Currently, I’m working on my debut album, a project that has been about two years in the making,” the artist shared in an interview with Gibson. “It will be released in January 2025, and I’m working hard to make sure that this represents me as I navigated the last couple of years of my life. It’s been exciting to work hard on how it all sounds, looks, and feels.” Zhamira Zambrano has received her first-ever Multi-Platinum plaque from the RIAA for her heartfelt track “Extrañándote” in collaboration with Puerto Rican artist and her husband, Jay Wheeler. “Hi little Zhamy, who dreams of being a singer. Little by little you are achieving it! And although there are still many dreams to fulfill and a lot of work to do, today I want to tell you that you have your first 2X platinum plaque,” she sweetly expressed on her Instagram account, along with a set of photos of her career achievement. “Extrañándote” peaked at No. 3 on Billboard’s Latin Pop Airplay chart earlier this year, earning Zambrano her second Billboard top 10 hit. “The song emerged organically in the studio,’” Zambrano previously told Billboard . “We wanted to do something more upbeat than a ballad and that’s how ‘Extrañandote’ came to be, as always, aimed at love and heartbreak and that’s why many people relate. I’m super happy to know that people have made it their own.” A post shared by zhamira (@zhamirazambranomusic)MOON TOWNSHIP, Pa. (AP) — Zach Tanner threw two touchdown passes to Shawn Charles and Robert Morris ended the season with a 31-13 win over Stonehill on Saturday. Tanner and Charles hooked up for an 86-yard score on the second snap for the Colonials (7-5, 4-2 Northeast Conference) and then went for 51 yards to make it 21-0 after one quarter. Tanner was 13 of 20 for 268 yards with two interceptions. Charles caught four passes for 149 yards. DJ Moyer capped a 69-yard drive in the first quarter with a 1-yard plunge. Danny Hurley kicked two field goals to help get the Skyhawks (1-10, 0-6) within eight points but a field goal and a Turner Schmidt fumble recovery for a score wrapped up the game for Robert Morris. AP college football: https://apnews.com/hub/ap-top-25-college-football-poll and https://apnews.com/hub/college-football . Sign up for the AP’s college football newsletter: https://apnews.com/cfbtop25No. 25 Illinois' TD with four seconds left upends Rutgers