A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...
Beyond the AI narrative potentially imploding, the health of the U.S. consumer is a key secondary risk for the economy and ...
Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs (TKGs), challenging the conventional reliance on graph-based techniques and ...
Abstract: Accurate prediction of socio-political events is a longstanding challenge with profound implications for risk management, policy planning, and international relations. Traditional machine ...
Abstract: Temporal knowledge graph reasoning aims to predict the missing links (facts) in the future timestamps. However, most existing methods have a common limitation: they focus on learning dynamic ...
Specialists define and discuss extrapolation, along with the importance of strong data in specific disease states. This is a video synopsis/summary of a panel discussion involving Ryan Haumschild, ...
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