Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from a set of two-dimensional (2D) images, captured from different angles. It works by training a deep neural network to predict the color and density at any point in 3D space.
Hi! We are building “Open Source Nano Banana for Video” – here is open source demo v0.1 We call it Lucy Edit and we release it on hugging face, comfyui and with an api on fal and on our platform Read more here! https://x.com/DecartAI/status/1968769793567207528 Super excited to hear what you think and how we can …
This article offers a hands-on Python introduction to
This article introduces, through a hands-on Python example, cuDF : one of the latest Python libraries designed by
We’re introducing a family of solutions to some of the most complex equations that describe fluid motion.
This post was written with Alex Gnibus of Stability AI. Stability AI Image Services are now available in Amazon Bedrock, offering ready-to-use media editing capabilities delivered through the Amazon Bedrock API. These image editing tools expand on the capabilities of Stability AI’s Stable Diffusion 3.5 models (SD3.5) and Stable Image Core and Ultra models, which …
Read more “Scale visual production using Stability AI Image Services in Amazon Bedrock”
AI is transforming how people work and how businesses operate. But with these powerful tools comes a critical question: how do we empower our teams with AI, while ensuring corporate data remains protected? A key answer lies in the browser, an app most employees use every day, for most of their day. Today, we announced …
Read more “Supercharging Employee Productivity with AI, Securely, with Gemini in Chrome Enterprise”
The vaccine advisory group ACIP, not all members of which seemed to know what the group does, recommended to the CDC that combined MMRV shots not be given before age 4.
The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.
What does this mean for our favorite open image/video models? If this succeeds in getting model creators to use Chinese hardware, will Nvidia become incompatible with open Chinese models? submitted by /u/Ken-g6 [link] [comments]