Google’s AI agent platform takes pole position but work remains

Enterprises are rapidly moving from an artificial intelligence that answers questions and generates content to one that ...
IEEE

Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...
IEEE

Neural Acceleration of Graph Based Utility Functions for Sparse Matrices

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...
GitHub

Shader Graph Custom Lighting

Some custom lighting functions/sub-graphs for Shader Graph, Universal Render Pipeline. If anything breaks, let me know by opening an issue! + This version is for URP v17.1+ / Unity 6000.1+-For older ...
Robohub

Gradient-based planning for world models at longer horizons

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...
GitHub

NVlabs/diff-rt-calibration

Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and environment-specific channel impulse responses(CIRs). While acquiring ...
Monash University

Common derivatives and differentiation techniques

The derivatives for any functions like polynomial, power, exponential, logarithmic and circular functions can be easily found by knowing the derivative for their base function. For example, the ...