177 citations · 179 across the 5 of their papers we have counts for
6 papers
The .serva Standard: One Primitive for All AI Cost Reduced, Barriers Removed
Rachel St. Clair, John Austin Cook, Peter Sutor +2
Artificial Intelligence (AI) infrastructure faces two compounding crises. Compute payload - the unsustainable energy and capital costs of training and inference - threatens to outp…
Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling
Jack Cook, Junxian Guo, Guangxuan Xiao +7
As large language models have grown larger, interest has grown in low-precision numerical formats such as NVFP4 as a way to improve speed and reduce memory usage. However, quantizi…
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
Jack Cook, Danyal Akarca, Rui Ponte Costa +1
The brain is made up of a vast set of heterogeneous regions that dynamically organize into pathways as a function of task demands. Examples of such pathways can be found in the int…
A Geometric Framework for Odor Representation
Jack A. Cook, Thomas A. Cleland
We present a generalized theoretical framework for olfactory representation and plasticity, using the theory of smooth manifolds and sheaves to depict categorical odor learning via…
A Differential Topological Model for Olfactory Learning and Representation
Jack A. Cook
This thesis is designed to be a self-contained exposition of the neurobiological and mathematical aspects of sensory perception, memory, and learning with a bias towards olfaction.…
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen +11
NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition. NeMo is built around neural modules, c…