Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

You can quickly cook up 3D models for use in games, animation, art projects, and VR/AR productions.

Earlier this week, Anything World launched its machine learning-powered animation software to the public, with a free tier for educational and personal use.

Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ's strategy to make it a reality.

In summary AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined.

Roblox announced Monday that it’s launching the first iteration of its 3D model, dubbed “Cube,” to allow creators to create 3D objects using generative Roblox launched its 3D model, “Cube ...