Abstract: The billion-scale Large Language Models (LLMs) necessitate deployment on expensive server-grade GPUs with large-storage HBMs and abundant computation capability. As LLM-assisted services ...

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

Abstract: Real-time object detection in uncrewed aerial vehicle based Search and Rescue missions requires a critical balance between accuracy, speed, and the computational constraints of edge devices.

TFNBS Toolbox is a Python package for computation and generation of network-based statistics for neuroscience data (i.e. fMRI, EEG data). The core concept is based on eliminating the use of a ...