Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Psychology Today

AI's Glass Ceiling

Artificial Intelligence (AI) is advancing rapidly, with today’s systems able to imitate various human cognitive functions such as speech recognition, music composition, disease diagnosis, and even ...
IEEE

Evolutionary Algorithm for the Traveling Salesman Problem With Innovative Encoding on Hybrid Quantum-Classical Machines

Abstract: The Traveling Salesman Problem (TSP) is a widely studied NP-complete optimization challenge with significant theoretical and practical implications. This study proposes a hybrid ...
Scientific Research Publishing

Xiao, X. and Liu, Z. (2024) An Adaptive Instruction Set Encoding Automatic Generation Method for VLIW. In: Tari, Z., Li, K.Q. and Wu, H.Y., Eds., Algorithms and Architectures ...

ABSTRACT: This paper presents a configurable assembler framework enhanced with reinforcement learning (RL) and MARTE (Modeling and Analysis of Real-Time and Embedded Systems) constraints to address ...