TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

The AI Paradox: Why World-Class Algorithms Fail On Second-Class Data

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...
IEEE

Integrated Electric Bus and Charger Scheduling With Time-Continuous Optimization and Efficient Combinational Algorithms

Abstract: Battery electric buses (BEBs) are increasingly adopted in urban transit systems due to their significant environmental benefits. However, their limited driving range and prolonged charging ...
Tech Xplore

Making big tech algorithms 'fair' is harder than it looks

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...
Northwestern's McCormick School of Engineering

Adaptive Algorithm Aims to Reduce Kidney Discards and Improve Transplant Access

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
Frontiers

Tracing the Evolution of Machine Learning in Energy Efficiency

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
IEEE

Quantum-Resilient Cryptographic Frameworks: Design and Analysis of Post-Quantum Algorithms for Secure and Efficient Edge-Assisted IoT Ecosystems in Consumer Electronics Devices

Abstract: The rise of quantum computing threatens traditional cryptographic systems, driving the urgent adoption of PQC algorithms for securing IoT and edge computing environments. However, selecting ...