Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: Online learning recommendation is critical for talent cultivation and high-quality education. However, existing algorithms often prioritize personalization over learning goals, leading to ...
Abstract: Detecting small targets in complex marine environments is challenging for radar systems. Existing methods relying on high-dimensional features often fail to account for correlations in radar ...
A production-grade algorithmic trading system combining particle filters, graph-based ecosystem modeling, RAG-grounded LLM research agents, and NLP news pipelines for NIFTY 50 swing trading (3-20 day ...
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