
Physical Intelligence π0.7: The Generalist Robot Brain That Actually Generalizes
Highlights of AI News for April 13 - 19 2026
13 posts found

Highlights of AI News for April 13 - 19 2026

How motion estimation evolved from pixel-level optical flow to neural scene flow fields — and why it matters for reconstructing dynamic 3D worlds from video.

How 4D Gaussian Splatting extends real-time radiance fields into the time domain — deformation fields, temporal regularization, neural scene flow, and the path to dynamic world models.

Highlights of AI News for April 06 -12 2026

A tour of the architectures that bake 3D geometry into the network itself—from Hinton's capsules and the geometric deep learning framework to modern E(n)-equivariant graph networks powering physical AI.

Survey the post-transformer frontier—state space models, recurrent revivals, long convolutions, and equivariant networks—and see why the architectures that will power physical AI look nothing like a stack of attention layers.

Map the modern image-to-3D ecosystem—from LRM-style direct regression and multi-view diffusion to latent 3D generation—and see how the frontier is now moving from static 3D to dynamic 4D worlds.

Trend tutorial on World Models -- focusing on Worldlabs' Marble

Highlights of AI News for March 22-29 2026

World Models landscape and engineering challenges in 2026-2027

World Models: evolution and connection to RSI

Trends of Energy-based World Models

Highlights of Trends in ICLR 2026 RSI workshop