TMCnet

MicroCloud Hologram Inc. Builds the Industry's First Multi-FPGA Quantum Fourier Transform Simulation Solution

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, launched a brand-new scalable quantum Fourier transform simulator technology based on multi-FPGA and ...
Morning Overview on MSN

Scientists build a ‘periodic table’ for AI models

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Frontiers

Factors affecting feeding ability in children with neonatal intensive care unit stay: a cluster analysis using machine learning methods

1 Rehabilitation Department, Shenzhen Children's Hospital, Shenzhen, Guangdong, China 2 Jiangxi Education Evaluation And Assessment Institute, Nanchang, Jiangxi, China Objectives: Oral feeding ...
SciELO

Structural damage detection utilizing probabilistic divergence of FFT coefficient ratios and DBSCAN cluster algorithm

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...
Scientific Research Publishing

Wang, B.S., Wang, G.C. and Wei, Y.H. (2025) Improvement of the Cluster Number Determination Method Based on K-Means Algorithm. Statistics and Decision-Making, 41, 59-64.

ABSTRACT: As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable ...
C&EN

Cluster-Based Machine Learning Potentials to Describe Disordered Metal–Organic Frameworks up to the Mesoscale

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. To achieve our goal, we introduce the chemical environment of ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Frontiers

Machine-learning algorithm to predict home delivery after antenatal care visit among reproductive age women in East Africa

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...