The ICLR 2026 analysis shows Chinese institutions, led by Tsinghua with 331 papers, dominate total submissions, while U.S. institutions retain the lead in high‑impact Oral papers, highlighting a shift in volume but not in top‑tier research influence.
The SIGGRAPH 2026 paper “Generative 3D Gaussians with Learned Density Control” introduces Density‑Sampled Gaussians (DeG), a differentiable framework that lets a model learn where to place Gaussian splats by sampling from a learned spatial density, enabling arbitrary‑budget, non‑uniform 3D representations with higher quality per cost.
Tsinghua University and WuWen XinQiong unveil DeepSeek‑R1, a multi‑model AI architecture that prioritizes width over depth, enabling parallel expert models to tackle complex, multi‑format data, addressing single‑model limitations while attracting significant industry investment and posing new engineering challenges.
This document, authored by a postdoctoral team at Tsinghua University's New Media Research Center, provides a detailed, image‑rich tutorial on using the DeepSeek AI model, aiming to help users better understand and apply the technology through clear visual instructions.
