Media
Learning AI If You Suck at Math - Part Eight - The Musician in the Machine
"Attention takes two sentences, turns them into a matrix where the words of one sentence form the columns, and the words of another sentence form the rows, and then it makes matches, identifying relevant context." Check out the graphic from the Attention is All You Need paper below. It's two sentences, in different languages (French and English), translated by a professional human translator. The attention mechanism can generate a heat map, showing what French words the model focused on to generate the translated English words in the output.
Next (Season 1 Episode 3) "FILE #3" trailer, release date - Startattle
Shea (Fernanda Andrade) and LeBlanc (John Slattery) head to Dartmouth to investigate NEXT's whereabouts, which are potentially linked to Biomotion Labs. There, they visit LeBlanc's friend, Professor Richard Pearish (guest star Michael Herzovi) for answers. Meanwhile, Shea, Ethan (Evan Whitten) and Ty (Gerardo Celasco) take extra precautions to disconnect from electronics and the Internet to protect their families, and LeBlanc urges Abby (Elizabeth Cappuccino) to do so, as well, but NEXT complicates their plans. Network: Fox Episode title: "FILE #3" Release date: October 27, 2020 at 9pm EST (In the event that a World Series – GAME 6 is necessary, NEXT will be preempted, and local programming will air in primetime on the West Coast.) Next is a 2020 American science fiction crime drama television series created by Manny Coto ("24: Legacy") for the Fox Broadcasting Company.
Using AI to detect seemingly perfect deep-fake videos
One year ago, Maneesh Agrawala of Stanford helped develop a lip-sync technology that allowed video editors to almost undetectably modify speakers' words. The tool could seamlessly insert words that a person never said, even mid-sentence, or eliminate words she had said. To the naked eye, and even to many computer-based systems, nothing would look amiss. The tool made it much easier to fix glitches without re-shooting entire scenes, as well as to tailor TV shows or movies for different audiences in different places. But the technology also created worrisome new opportunities for hard-to-spot deep-fake videos that are created for the express purpose of distorting the truth.
Research on AI Composition Recognition Based on Music Rules
Deng, Yang, Xu, Ziyao, Zhou, Li, Liu, Huanping, Huang, Anqi
The development of artificial intelligent composition has resulted in the increasing popularity of machine-generated pieces, with frequent copyright disputes consequently emerging. There is an insufficient amount of research on the judgement of artificial and machine-generated works; the creation of a method to identify and distinguish these works is of particular importance. Starting from the essence of the music, the article constructs a music-rule-identifying algorithm through extracting modes, which will identify the stability of the mode of machine-generated music, to judge whether it is artificial intelligent. The evaluation datasets used are provided by the Conference on Sound and Music Technology(CSMT). Experimental results demonstrate the algorithm to have a successful distinguishing ability between datasets with different source distributions. The algorithm will also provide some technological reference to the benign development of the music copyright and artificial intelligent music.