IEEE

Enhancing ACPF Analysis: Integrating Newton-Raphson Method With Gradient Descent and Computational Graphs

Abstract: This paper presents a new method for enhancing Alternating Current Power Flow (ACPF) analysis. The method integrates the Newton-Raphson (NR) method with Enhanced-Gradient Descent (GD) and ...
IEEE

Stochastic Learning of Computational Resource Usage as Graph-Structured Multimarginal Schrödinger Bridge

Abstract: We propose to learn the time-varying stochastic computational resource usage of software as a graph-structured Schrödinger bridge problem (SBP). In general, learning the computational ...
VentureBeat

Meta researchers open the LLM black box to repair flawed AI reasoning

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...
Scientific Research Publishing

Saied, M., Guirguis, S. and Madbouly, M. (2023) A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection. International ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
TMCnet

SEOULTECH Researchers Develop VFF-Net, A Revolutionary Alternative to Backpropagation That Transforms AI Training

The proposed algorithm applies the concept of forward-forward network to CNNs, avoiding away traditional back-propagation and its limitations SEOUL, South Korea, Oct. 16, 2025 /PRNewswire/ -- Deep ...
techxplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
EurekAlert!

SEOULTECH researchers develop VFF-Net, a revolutionary alternative to backpropagation that transforms AI training

VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...
GitHub

Example graph for interior mapping

We'd benefit from having a simple MaterialX example of the interior mapping technique in our repository, demonstrating how this shading effect can be built from the existing viewdirection node.
EurekAlert!

Uncertainty-aware fourier ptychography: A differentiable paradigm for resilient computational imaging

The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...
GitHub

[Question] graph-example执行时会报NPE

http://localhost:18080/manus/chat?query=帮我将李白的《将进酒》全文写入到F:%2FTest目录下的将进酒.txt文件中 进行测试时，example ...
Seeking Alpha

WiMi Developed a Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm

BEIJING, Apr. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the development of a ...