Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Abstract: The increasing penetration of renewable generation in power systems poses a significant challenge due to its strong uncertainty. Satisfying security under any realization of the uncertainty ...
MorphIt is a novel algorithm for approximating robot morphology using spherical primitives that balances geometric accuracy with computational efficiency. Unlike existing approaches that rely on ...
Abstract: This paper studies the problem of constructing a minimum-cost multicast tree (or Seiner tree) in which each node is associated with a cost that is dependent on the degree of the node on the ...
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