Media
'Blade Runner 2049' VFX reel shows CG tricks behind bleak landscapes
There's no question that Blade Runner 2049 revolves around computer-generated effects, whether it's the retro-futuristic technology or its holographic AI personas. However, the CG is more pervasive than you might think. Rodeo FX has released a visual effects reel for Denis Villeneuve's bleak sci-fi movie, and it's evident that even the seemingly mundane shots were draped in digital artwork. Caution: there are mild spoilers ahead. It's not shocking that some scenes are entirely CG (such as flights over the future Los Angeles), or have to use it to fill in landscapes that don't exist. However, it's the extent to which it's used.
Learning Neural Audio Embeddings for Grounding Semantics in Auditory Perception
Multi-modal semantics, which aims to ground semantic representations in perception, has relied on feature norms or raw image data for perceptual input. In this paper we examine grounding semantic representations in raw auditory data, using standard evaluations for multi-modal semantics. After having shown the quality of such auditorily grounded representations, we show how they can be applied to tasks where auditory perception is relevant, including two unsupervised categorization experiments, and provide further analysis. We find that features transfered from deep neural networks outperform bag of audio words approaches. To our knowledge, this is the first work to construct multi-modal models from a combination of textual information and auditory information extracted from deep neural networks, and the first work to evaluate the performance of tri-modal (textual, visual and auditory) semantic models.
[D] AlphaZero for G of GAN โข r/MachineLearning
Let's consider a GAN in which G is AlphaZero-like algorithm. Unlike other GAN, G of this one can directly take samples from the dataset as an input in the sense that they can be used in the tree. There are various kinds of RL problems whose evaluation cannot be easily done by a simple algorithm without using a NN. SeqGAN, LeakGAN) is one example, and this is something I'm particularly interested in. Realistic *** generation is a special subset of the above problems in the sense that infinite supply of labelled (in the sense that they are realistic or not) samples are available.
Jedi holiday magic: 'Star Wars' holds top spot on Christmas weekend
Santa and his reindeer got nothing on Rey, Finn and Poe. Moviegoers may have been immersed in holiday parties and preparations in the days leading up to Christmas, but they still filled theaters for some Jedi Knight magic. As expected, "Star Wars: The Last Jedi" held the top spot at the box office over the weekend. Director Rian Johnson's distinctive take on the sci-fi franchise has been equally lauded by critics and audiences alike. With its 92% fresh score on Rotten Tomatoes and A rating on CinemaScore, "Star Wars: The Last Jedi" is flying as high as Santa this Christmas.
Content Creation Robots Are Here [Examples]
I had a conversation with BuzzSumo co-founder Steve Rayson who said writing algorithms are available for purchase, have been bought, and are in use by major platforms. And, they are creating well-written, data-backed articles, he said. I knew the AI landscape was evolving in the industry: But just how much would it really affect content creation? I took a data-driven look at the reality. How much has AI been implemented behind the scenes for content creation?