“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV algorithms to diverse matrices and ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Cognitive Diagnosis (CD) plays a crucial role in personalized learning by evaluating students' mastery of various concepts.
Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
Inflammation comprises the detection and response to injury and pathogens, the accumulation and intervention of cells that eliminate invading microorganisms and infected host cells, and the repair of ...
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An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...