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 ...

Abstract: This paper presents a digital low-dropout regulator (DLDO) architecture employing the improved successive approximation logic algorithm as its control strategy. The algorithm is combined ...

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.

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 ...