Axial encoding unlocks up to eightfold faster 3D microscopy with less light

A research team from HKU Engineering has pioneered a fundamentally new imaging strategy known as AIMED (Arbitrary illumination microscopy with encoded depth), which utilizes a sub-sampling approach.
Devdiscourse

Banks could strengthen credit card fraud screening with ensemble machine learning model

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...
The Manila Times

WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company') is a leading global Hologram Augmented Reality ('AR') Technology provider. A quantum deep convolutional neural network technology ...

WiMi Hologram Cloud Inc. (WIMI) Advances Quantum Tech for AR

WiMi Hologram Cloud Inc. (NASDAQ:WIMI) is one of the best augmented reality penny stocks to buy. On May 11, 2026, WiMi ...
Infosecurity MagazineOpinion

Math, Morals, and the Machine: Perspectives on AI Security and Ethics

The task ahead is not to give machines a conscience. It is to design systems where failures are predictable, constrained, and ...
Neuroscience News

Parkinson’s Drug Restores Memories in Alzheimer’s

Summary: A new study has identified dopamine dysfunction as a previously unrecognized driver of memory loss in Alzheimer’s disease. Focusing on the entorhinal cortex, the brain’s gateway to memory ...
C&EN

Cell-Free Protein Synthesis as a Method to Rapidly Screen Machine Learning-Generated Protease Variants

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning (ML) tools have revolutionized protein structure prediction, ...
IEEE

Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications

Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...
IEEE

DiGraph-Enabled Digital Twin and Label-Encoding Machine Learning for SCADA Network’s Cyber Attack Analysis in Industry 5.0

Abstract: False-Data Injection Attack (FDIA), Remote-Tripping Command Injection (RTCI), and System Reconfiguration Attack (SRA) on SCADA (Supervisory Control and Data Acquisition) networks impact ...
EurekAlert!

New quantum encoding methods slash circuit complexity in machine learning

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...
Scientific Research Publishing

Dea, A.R., Tito, W.P. and Anggunmeka, L.P. (2017) Comparison of Text Data Compression Using Huffman, Shannon-Fano, Run Length Encoding, and Tunstall Methods. International ...

ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...