Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...

Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...

Quantum computers may become a security threat as early as next year, and that threat will continue to grow over the next several years.

Abstract: This paper introduces a novel hybrid optimization algorithm that combines the Gazelle Optimization Algorithm (GOA) with Differential Evolution (DE) to enhance performance in optimizing ...

1 Key Laboratory of Fluid and Power Machinery, Xihua University, Ministry of Education, Chengdu, China 2 State Key Laboratory of Hydroscience and Department of Energy and Power Engineering, Tsinghua ...

A new technical paper titled “Algorithm-Driven On-Chip Integration for High Density and Low Cost” was published by researchers at University of Southern California. “Growing interest in semiconductor ...

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

Abstract: With the acceleration of urbanization, the construction resource management of civil pipeline engineering construction needs to seek a balance between multiple objectives such as resource ...