A new research paper from AMD explains how procedurally generating certain 3D objects in real-time-rendered scenes, like ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Professor tackles graph mining challenges with new algorithm. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241018162554.htm ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm ...

Scene graph generation is a structured prediction task aiming to explicitly model objects and their relationships via constructing a visually-grounded scene graph for an input image. Currently, the ...

Deep learning frameworks or compilers optimize the operators in computation graph using fixed templates via significant engineering efforts, which may miss potential optimizations such as operator ...

Unlike basic Q-learning algorithms, which generally focus on finding the optimal path to maximize rewards, ... The softmax algorithm, a popular model that excels in this kind of balancing, ...

While vision transformers (ViTs) have achieved impressive performance in computer vision and advanced the state-of-the-art for various vision tasks, a bottleneck impeding further progress with ViTs in ...

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.

The new algorithm checks planarity in a number of steps proportional to the cube of the logarithm of the number of nodes in the graph — an exponential improvement. Holm and Rotenberg, a computer ...