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Serial Experiments Junferno. EDIT (March 2023): The ending of this video includes some predictions on the future on VTubing, including the possibility and implications of a truly "AI" VTuber. As of December 2022, this prediction came true with the debut of Neuro-sama just one month after the release of ChatGPT, which lead to mass debate about AI and the possibility of AGI, a heavily philosophical question. Given such hindsight, this video does not provide nearly enough nuance to this now-widespread and controversial topic so please forgive the oversimplification. Patreon: / junferno Twitter: / junferno Join the Discord: / discord Secondary Discord invite if vanity invite expires: / discord Check out my other stuff on GitHub: https://github.com/kevinjycui Corrections: [Visual error at 25:09] "Nvidea" should be Nvidia Footnotes (cut for time): Woody Bledsoe later on went on to make contributions in early A.I. pattern recognition. An unknown amount of the research in the Facial Recognition Project is missing, and the research group the report was submitted to (King-Hurley Research group) was found to be a front for the CIA. The CIA stated that it could neither confirm nor deny the existence or nonexistence of the report in 2014. Modern marker-based mocap systems can also use LEDs rather than reflective or retroreflective material, which can be more easily detected. CodeMiko's mocap hardware involves a combination of an Xsens suit, a pair of Manus VR gloves, and a MOCAP Design facial tracking helmet (which is just a helmet attached to an iPhone X). The suit and gloves use various accelerometer and gyroscope sensors attached to the body to detect motion. Infrared light has a wavelength longer than visible light and is commonly used for night vision and surveillance, as it is radiated naturally by humans. PrimeSense, the company that designed the Xbox Kinect, was acquired by Apple in 2013 to design the TrueDepth camera. Thus, it can be assumed that TrueDepth's IR technology works similarly to the Kinect. The stereo mesh solver from OpenCV can create a 3D surface mesh using an array of cameras at different angles to a face, similar to the Pixel's uDepth. Another regression model is logistic regression, which puts the hypothesis through a sigmoid function to bound it between 0 and 1 and compares it to a threshold, thus predicting classification (0 or 1 rather than a range of numbers). The sigmoid function is a common activation function for neural networks. The cost function is sometimes referred to as the "loss function". These terms are generally interchangeable. The first ConvNet model used for computer vision was by Yann LeCun et al. in 1989. LeCun was one of the first to use backpropagation and was able to recognise hand-written numbers. This model would later be called the LeNet. Facial recognition (classification) models can also use statistical approaches such as PCA or LDA for dimension reduction. Tensorflow is a free and open-source software library for machine learning and artificial intelligence developed by the Google Brain team. Pre-trained models are available for use and further training via the Tensorflow Model Zoo. There are three basic machine learning paradigms: unsupervised learning, supervised learning, and reinforcement learning. Facial landmark detection uses supervised learning, in which it trains off of labelled training data. Landmarks are usually mapped to a 3D model by the bones of the model (which the renderer uses as a guide to move the rest of the model). The movement does not have to be exact to the captured landmarks. For example, an avatar could have a different degree of skin elasticity. Both Hololive and Nijisanji began for their respective mobile AR apps: The hololive app for iOS and Android and the Nijisanji app for iOS. Hololive has several other branches besides Hololive English. International branches include Hololive Indonesia and Hololive China (though Hololive China was shut down following political controversy). Holostars is the male-only branch. OpenSeeFace's models are trained from scratch using MobileNet V3 architecture as a backbone. MNV3 is a ConvNet designed for mobile phone CPUs. The final landmark determination step also doesn't use normal linear regression, but a heatmap based approach with offset vectors, where UNet upscaling layers follow after the MNV3 feature extraction. Thank you Emiliana_vt for this detail. Kizuna AI went on indefinite hiatus in February 2022 following a last livestream titled "hello, world 2022". References (password: kizuna): https://controlc.com/7323a3b2 Photos courtesy of Wikimedia Commons, Fandom Kizuna AI: / aichannel CodeMiko: / codemiko Music tracklist: • The Complete Junferno Soundtrack