f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Diffusion models (DMs) have recently emerged as SoTA tools for generative modeling in various domains. Standard DMs can be viewed as an instantiation of hierarchical variational autoencoders (VAEs) where the latent variables are inferred from input-centered Gaussian distributions with fixed scales and variances. Unlike VAEs, this formulation constrains DMs from changing the latent spaces and …

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Cloud scalability: Scale-up vs. scale-out

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IT Managers run into scalability challenges on a regular basis. It is difficult to predict growth rates of applications, storage capacity usage and bandwidth. When a workload reaches capacity limits, how is performance maintained while preserving efficiency to scale? The ability to use the cloud to scale quickly and handle unexpected rapid growth or seasonal shifts …

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Robust and efficient medical imaging with self-supervision

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Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow, single-task systems that require large quantities of labeled data to train. Moreover, these models cannot be easily reused in new clinical contexts as they …

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ML Lifecycle

Deliver your first ML use case in 8–12 weeks

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Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? You’re not alone. Most executives think ML can apply to any business decision, but on average only half of the ML projects make it to production. This post describes how to implement your first ML use case using Amazon …

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The Future of Intelligent Vehicle Interiors: Building Trust With HMI & AI

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Imagine a future where your vehicle’s interior offers personalized experiences and builds trust through human-machine interfaces (HMI) and AI. In this episode of the NVIDIA AI Podcast, Andreas Binner, chief technology officer at Rightware, delves into this fascinating topic with host Katie Burke Washabaugh. Rightware is a Helsinki-based company at the forefront of developing in-vehicle …

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A power-efficient engine that can disentangle the visual attributes of objects

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Most humans are innately able to identify the individual attributes of sensory stimuli, such as objects they are seeing, sounds they are hearing, and so on. While artificial intelligence (AI) tools have become increasingly better at recognizing specific objects in images or other stimuli, they are often unable to disentangle their individual attributes (e.g., their …

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