Encord creates a new method for training powerful multimodal AI models on a single GPU

Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...
Tech Xplore

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 ...
The Boston Globe

MGB leaving some Medicare Advantage primary care networks, affecting 19,000 patients

Many Mass General Brigham primary care doctors will no longer be in-network for Medicare Advantage plans offered by two of the state’s biggest health insurers, affecting nearly 19,000 patients and ...
IEEE

Efficient Distributed Graph Neural Network Training with Source Chunking and Moving Aggregation

Abstract: Graph neural networks (GNNs) are effective models for analyzing graph-structured data, but encounter challenges when training on large distributed graphs. Existing GNN training frameworks ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Microsoft

RenderFormer: How neural networks are reshaping 3D rendering

3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...
Reuters

Hegseth says US deployment in Caribbean “isn’t training” on Puerto Rico visit

WASHINGTON, Sept 8 (Reuters) - Secretary of Defense Pete Hegseth told sailors and Marines on a warship off Puerto Rico on Monday that they were not deployed to the Caribbean for training but instead ...
IEEE

TGBNN: Training Algorithm of Binarized Neural Network With Ternary Gradients for MRAM-Based Computing-in-Memory Architecture

Abstract: To build Neural Networks (NNs) on edge devices, Binarized Neural Network (BNN) has been proposed on the software side, while Computing-in-Memory (CiM) architecture has been proposed on the ...
GitHub

Graph Neural Network for Heat Transfer Problem

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.
Business Wire

FranklinCovey Recognized by Training Magazine for a 5th Year Consecutively as a 2025 Training Magazine Network Choice Awards Winner in the Leadership Development Category

SALT LAKE CITY & MINNEAPOLIS--(BUSINESS WIRE)--Franklin Covey Co. (NYSE: FC), the premier organizational performance partner of choice, today announced that it has been recognized by Training magazine ...