Cloud

By M. Harrison. 2013

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling (2020, background): “On the other hand these same technologies also enable assistive technologies like text to speech [58], new art forms [59, 60], and new design technologies [61].”
Intra-agent speech permits zero-shot task acquisition (2022, methodology): “We trained our models using Tensor Processing Units (TPUv3) [28].”
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks (2020, background): “…in Voice Assistants [15, 16], Smart Speakers [17], and enterprise applications [18–20], etc. Cloud-backed inference currently dominates the market [21–24] and is enabled by various forms of custom accelerators, such as Google’s TPU [1], NVIDIA T4 [2], Microsoft Brainwave [3], and Facebook’s…”
VACE: All-in-One Video Creation and Editing (2025, unknown): “With the rapid development of image [2, 7, 16, 18, 58, 59] and video [22, 32, 73, 77] generation models, they are being used to create high-quality visual content and are widely applied in fields such as advertising, film special effects, game development, and animation production [13, 43–45 , 55 ].”