Scioto Valley Guardian

The Hidden Tech Used at Online Casinos in the Modern Era

CDNs, geolocation engines, behavioural AI, and anti-fraud models quietly power every online casino session behind the scenes.
Johns Hopkins Medicine

Machine Learning Model Improves Accuracy of Liquid Biopsy Results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
The Manila Times

WiMi Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, proposes a new high-performance fault-tolerant quantum ...
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 ...
TMCnet

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 ...
IEEE

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning

Abstract: In this article, we utilize the concept of average controllability in graphs, along with a novel rank encoding method, to enhance the performance of Graph Neural Networks (GNNs) in social ...
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 ...
PNAS

An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies

Causal inference has been increasingly essential in modern observational studies with rich covariate information. However, it is often challenging to estimate the causal effect with high-dimensional ...
IEEE

Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment

Abstract: As the first step of machine-learning based protein structure and function prediction, the amino acid encoding play a fundamental role in the final success of those methods. Different from ...