peter jackson
Paul McCartney uses AI to 'extricate' John Lennon's voice from two more old demos - following the number 1 success of the 'last Beatles song'
Paul McCartney enlisted a little help from artificial intelligence to complete the'last Beatles song' two years ago. The track, 'Now and Then', became the first Beatles music to reach number 1 in the UK for 64 years. Now, in an apparent effort to repeat its success, McCartney has once again used AI – on two more songs. The sophisticated tool called'MAL' is the creation of WingNut Films, the production company headed by Lord of the Rings director Peter Jackson. MAL has managed to extricate John Lennon's voice from two poor-quality demos he made shortly before his death.
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How John Lennon's final interview could be saved after Star Wars soundtrack obscured Beatles star's voice in clip filmed just two months before his murder
Artificial intelligence (AI) has already enabled the creation of the'last Beatles song', Now and Then, which raced to the top of the charts this week. Filmmaker Peter Jackson used an AI tool called'machine audio learning' (MAL) to isolate John Lennon's voice from an old 1970s home demo. The vocal performance – rendered'crystal clear' by the AI – was then complemented by new instrumentation from Paul McCartney and Ringo Starr, along with guitar recorded by George Harrison for the song in 1995. But MAL's work may not be finished, as it could be used to salvage the last filmed interview of John Lennon, recorded less than two months before his tragic murder. Long to the frustration of fans, much of Lennon's answers to questions in the historically priceless clip are drowned out by – somewhat bizarrely – the sound of the first Star Wars movie.
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'Now and Then,' the Beatles' Last Song, Is Here, Thanks to Peter Jackson's AI
Following a lot of hype--and a quarter-century of work--"Now and Then," presumably the last song to feature all four original Beatles, is here. The track dropped Thursday and the music video, directed by Peter Jackson, hit YouTube on Friday. Sweet and haunting, it's full of piano and strings, and it wouldn't have been possible without the machine learning technology Jackson used on the docuseries Get Back. How the AI technology became the thing that saved the song is a bit of a journey. Years after John Lennon died in 1980, his wife, the musician and multimedia artist Yoko Ono, told his bandmate Paul McCartney that she had a demo tape Lennon had recorded at their apartment in the Dakota in New York City.
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Beatles releasing final song 'Now and Then' with John Lennon vocals: 'Quite emotional,' says Paul McCartney
The remaining Beatles, Paul McCartney and Ringo Starr, have completed the band's final song, decades after their breakup and the deaths of John Lennon and George Harrison. The band announced the song, titled "Now and Then," will be available worldwide Thursday, Nov. 2, paired with a re-release of their very first single, "Love Me Do," which debuted in 1962. "Now and Then" features vocals from Lennon as well as guitar performed by Harrison, recorded six years before his 2001 death. According to a press release for the song, Lennon recorded a demo with vocals and piano in the late 1970s while living in the Dakota building in New York. The Beatles announced a new song, "Now and Then," featuring contributions from the departed members of the band, John Lennon and George Harrison.
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AI helped create new Beatles song using Lennon's voice: McCartney
Artificial intelligence has helped create a final Beatles song set to be released this year, its member Paul McCartney has said. In an interview released on Tuesday by the BBC, McCartney said the technology was used to "extricate" John Lennon's voice from an old demo which was used to complete the song. "We just finished it up, and it'll be released this year," he said. McCartney, 84, said the song was made with the help of film director Peter Jackson, using the same AI technology employed for the Beatles documentary Get Back. During the making of that film, Jackson and his team were able to separate the voices from the instruments.
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This is how the Hobbit director used machine learning to rewrite the story of the Beatles
In January 1969, the Beatles had 21 days a new album, register documentary film And back to playing in front of the audience. Contracted to Twickenham Film Studios, the idea behind the project came in many ways from Paul McCartney – in what many believe was an attempt to save the group. It all ended with their last concert, their last studio album, and with a documentary that apparently documented the deep struggles within "The Fab Four". Since then, this has been seen as the time of the Beatles really Although the breach was not officially completed until the spring of the following year. Several contestants were uncomfortable with Yoko Ono's presence, and controversies led to George Harrison's "resignation" to the Beatles for three weeks, before returning somewhat reluctantly.
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AI study reveals the secret of an artistic 'hot streak'
Whether an artist, scientist, or film director, trailblazers in particular fields often have a critically-acclaimed'hot streak' where they produce a series of outstanding work in short succession. Now, scientists at Northwestern University in Illinois claim to have pinpointed the secret formula that often triggers a pioneer's best work. Using a form of artificial intelligence (AI) called deep learning, they mined data related to thousands of artists, film directors and scientists to identify a magical formula for success. Hot streaks directly result from years of'exploration' (studying diverse styles or topics), immediately followed by years of'exploitation' (focusing on a narrow area to develop deep expertise), they claim. They define a hot streak as a burst of high-impact works clustered together in close succession – as achieved by artists such as Vincent Van Gogh and Jackson Pollock, or film directors like Peter Jackson or Alfred Hitchcock.
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Watch Scenes from Czarist Moscow Vividly Restored with Artificial Intelligence (May 1896)
In May of 1896, Charles Moisson and Francis Doublier traveled to Moscow on behalf of the Lumière Brothers company, bearing with them the newly developed Lumière Cinématogaphe camera. Their purpose: to document the coronation of Tsar Nicholas II--the last Emperor of Russia, though no one would have known that at the time. The coronation was an extraordinary event, soon to be overshadowed by even more extraordinary events in the Revolutionary years to come. An enormous celebration followed, with gifts, bread, sausage, pretzels, beer, and a commemorative cup to revelers. The promise of these gifts led to what was later called the Khodynka Tragedy.
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Are Engineers Afraid of AI Taking Their Jobs? What Can They Do about It?
An engineer checking and controlling welding robotics automatic arms machines in an intelligent industrial automotive factory using a monitoring system software used to belong to the science fiction realm. However, this is the reality of digital manufacturing operations in today's Industry 4.0 smart factories. Industry 4.0 is a concept that originated in Germany and is related to the integration of Internet of Things (IoT) and Machine-to-Machine (M2M) technology with networking and analytics with industry processes. Another ingredient in Industry 4.0 is Artificial Intelligence, one of the fastest growing emerging technologies with a market expected to reach $70 billion by 2020. Artificial Intelligence is transforming jobs across all industries already, a tendency that is increasing.
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Are Engineers Afraid of AI Taking Their Jobs? What Can They Do about It?
An engineer checking and controlling welding robotics automatic arms machines in an intelligent industrial automotive factory using a monitoring system software used to belong to the science fiction realm. However, this is the reality of digital manufacturing operations in today's Industry 4.0 smart factories. Industry 4.0 is a concept that originated in Germany and is related to the integration of Internet of Things (IoT) and Machine-to-Machine (M2M) technology with networking and analytics with industry processes. Another ingredient in Industry 4.0 is Artificial Intelligence, one of the fastest growing emerging technologies with a market expected to reach $70 billion by 2020. Artificial Intelligence is transforming jobs across all industries already, a tendency that is increasing.
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