Abstract: Accurate short-term traffic flow forecasting is essential for intelligent transportation systems (ITS) and urban operations. However, most graph neural network (GNN) approaches rely on ...
Abstract: The GraphBLAS high performance library standard has yielded capabilities beyond enabling graph algorithms to be readily expressed in the language of linear algebra. These GraphBLAS ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
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Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
Biohacking has gone mainstream: What began with fitness trackers and sleep apps now includes hardware implants, with 67% of Americans in a recent survey identifying… ...
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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