EDN

Chiplets: 8 best practices for engineering multi-die designs

Semiconductor design is in the midst of a structural shift. For decades, performance gains were achieved by packing more transistors into single, monolithic dies. But the physical limitations of these ...
PR Newswire

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

SHENZHEN, China, Nov. 15, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological ...
Seeking Alpha

MicroCloud Hologram Inc. Quantum Computing-Driven Multi-Class Classification Model Demonstrates Superior Performance

SHENZHEN, China, Oct. 2, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, introduced a significant development—Multi-Class ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...
IEEE

Hybrid 3B Net and EfficientNetB2 Model for Multi-Class Brain Tumor Classification

Abstract: Brain tumor classification and diagnosis are critical for timely and effective treatment, as brain tumors can severely impact patient health and survival. This paper introduces an enhanced ...