In episode 100 of the AI/Hyperautomation Minute, Aaron Back explores the possibilities of AI NeRFs and what guidelines must be in place to ethically optimize this advancing technology.
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Highlights
00:54 — Coming from the company datagen, NeRF is short for “neural radiance field.” This involves a “fully connected neural network that can generate novel views of complex 3D scenes based on a partial set of 2D images.”
01:31 — These AI NeRFs can take a set of partial images — meaning there aren’t images all the way around the object of the photo — then “extrapolate what it needs to understand the environment” and render that into 3D scenes.
01:55 — Luma Labs released an Unreal Engine plugin to “give creators a way to easily create 3D assets within existing worlds.”
02:21 — As newer technologies continue to absorb AI to create things, this brings fear, uncertainty, and doubt. Aaron raises his concerns again on the ethical use of these tools. He considers the dangers of deep fake tools and how they could be used to portray someone in a negative way, for instance.
03:07 — The continued evolution of AI NeRFs will require guardrails to be in place but not in a way that hinders creativity. There has yet to be a global adoption of AI guardrails.
03:41 — From the creative perspective, AI NeRFs can be used to innovate and create all kinds of things, such as new worlds and fully immersive experiences using AI-rendered assets in real-time.
04:18 — This showcases the further advancement of physics, math, and spatial recognition that’s needed to create 3D assets inside 3D worlds.
04:37 — AI NeRFs will have many real-world use cases, such as medical students using it to learn about their field of healthcare or manufacturers better understanding a product with enhanced digital twins in a 3D space.
05:26 — Leaders need to be open about adopting new technology and balancing that with fiscal, ethical, and regulatory guidelines.
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