The poster highlights an NSF award shared by Nelson and Casey Kennington, Boise State University Foundation Board Endowed Professor of Computer Science, and showcases their progress in expanding ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
First Zettascale AI Cloud Cluster is powered by NVIDIA Blackwell GPUs, features 131,072 GPUs, 2.4 ZettaFLOPS peak performance and 4 times faster AI training with Grace Blackwell Superchips Oracle has ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
If you are already at least a little familiar with what’s inside the computer on your desk, and with the fact that a network connects it to other computers (and the Internet) and its the software that ...
For more about what hardware you need to build a cluster, see the other articles in HPC 101. You’ve been shopping at your favorite hardware vendor, and you have a cluster all picked out. Number of ...
When she was a college student, Stephanie Pridgeon fell hard for a documentary by award-winning director Sandi DuBowski. In this full circle moment, she introduced her students to DuBowski's work ...
Abstract: This study presents a novel approach for predicting invocation patterns in serverless computing using clustering and classification techniques. Serverless computing introduces unique ...
Abstract: In mobile edge computing (MEC) networks, federated learning (FL) has emerged as the leading distributed framework for training a shared machine learning model, primarily benefiting from its ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results