EuropaWire

Visual Components Launches Version 5.0 with Faster Manufacturing Simulation and Advanced Robot Programming

Visual Components has launched Visual Components 5.0, a major update to its 3D manufacturing simulation and robot offline programming software platform. The new version introduces faster simulation ...

Dragonfly mission begins rotorcraft integration, testing stage

Dragonfly integration and testing—the activities involved in assembling the mission's rotorcraft lander and testing it for ...
AZoM on MSN

Imaging silicon defects using Raman and PL multivariate imaging

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.
GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
IEEE

Fast Global Sparse Principal Component Analysis for Sensor Reduction in Virtual Metrology

Abstract: In semiconductor manufacturing, virtual metrology (VM) leverages high-dimensional sensor data for real-time quality estimation. However, excessive sensor deployment leads to increased ...
GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. babyphatotia-lab / tensorrt-llm Public forked from NVIDIA/TensorRT ...
IEEE

Online Nonconvex Robust Tensor Principal Component Analysis

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...