Search Results for author:
Found 10 papers, 0 papers with code
Neural scaling laws for phenotypic drug discovery
Recent breakthroughs by deep neural networks (DNNs) in natural language processing (NLP) and computer vision have been driven by a scale-up of models and data rather than the discovery of novel computing paradigms.
Tensor Slicing and Optimization for Multicore NPUs
Although code generation for Convolution Neural Network (CNN) models has been extensively studied, performing efficient data slicing and parallelization for highly-constrai\-ned Multicore Neural Processor Units (NPUs) is still a challenging problem.
The Development of Abstract Concepts in Children's Early Lexical Networks
How do children learn abstract concepts such as animal vs. artifact?
Alignment at Work: Using Language to Distinguish the Internalization and Self-Regulation Components of Cultural Fit in Organizations
Cultural fit is widely believed to affect the success of individuals and the groups to which they belong.
Computing the Ramsey Number R(4,3,3) using Abstraction and Symmetry breaking
The number $R(4, 3, 3)$ is often presented as the unknown Ramsey number with the best chances of being found "soon".
Solving Graph Coloring Problems with Abstraction and Symmetry
This paper introduces a general methodology, based on abstraction and symmetry, that applies to solve hard graph edge-coloring problems and demonstrates its use to provide further evidence that the Ramsey number $R(4, 3, 3)=30$.
Learning and using language via recursive pragmatic reasoning about other agents
Language users are remarkably good at making inferences about speakers' intentions in context, and children learning their native language also display substantial skill in acquiring the meanings of unknown words.
