Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Machine learning beats classical method in predicting cosmic ray radiation near Earth

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
McKnight's Long-Term Care News

Simple screening questionnaires better for identifying social needs compared to advanced machine learning, study determines

Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...
IEEE

A Multi-Layered AI-Driven Cybersecurity Architecture: Integrating Entropy Analytics, Fuzzy Reasoning, Game Theory, and Multi-Agent Reinforcement Learning for Adaptive Threat ...

Abstract: In the face of increasingly sophisticated cyberattacks, including adaptive adversaries and stealthy anomalies, key features of defense mechanisms should be effective, interpretable, and ...
C&EN

Identify Survived Key Features and Relevant Mechanisms for Designing High-Entropy Carbides via AI or Machine Learning

Multielement high-entropy carbides (HECs) provide many opportunities for HECs to obtain optimal combinations of various properties, e.g., high strength and high flexibility, leading to high toughness.
GitHub

An interpretable machine learning framework for designing high-strength high-entropy alloys using feature selection, generative models, and ensemble learning.

There was an error while loading. Please reload this page. Data_preprocessing_and_feature_selction.py contains Python code focused on preprocessing data and selecting ...
Daily Journal

Jim Merritt: Learning from Tennessee’s example to build a high-tech economy

Editor’s note: Opinion pieces are solely the opinion of the writer and not the Daily Journal. Today, Indiana thrives as a hub for innovators, visionaries, and bold thinkers who will shape our future.
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

Artificial intelligence (AI) has become a foundational technology across countless industries, but the question of when machine-learning (ML) inventions are patent-eligible remains a nebulous target.