The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...
Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...
The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.
Interestingly, ChatGPT showed adaptability in correcting errors. In earlier iterations, the model occasionally left nodes ...
The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...
Abstract: Topology optimization (TO) emerges as a pivotal technique in engineering design, which aims at optimizing material distribution within given design spaces. TO often presents large-scale ...
Abstract: Bilevel optimization, where one optimization problem is inherently nested within another, has gained significant attention due to its extensive applications in machine learning, such as ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In our recently published article, we compared different ...
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