Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
Abstract: Traditional hierarchical remotely operated vehicle (ROV) control suffers from feasibility gaps between motion control and thrust allocation (TA). Modeling uncertainties further complicate ...
Dr. Witt is the author of “The Radical Fund: How a Band of Visionaries and a Million Dollars Upended America.” In a year when the United States seemed more split than ever, Americans united in one way ...
SVGP-KAN is a library for building interpretable, probabilistic, and scalable neural networks. It merges the architecture of Kolmogorov-Arnold Networks (KANs) with the uncertainty quantification of ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Currently, I need to perform Gaussian filtering on images, but I want to avoid using MATLAB's built-in functions. Given an image of size N x N, my idea is to construct a sparse matrix where both ...
Matthew Chapman attended Rensselaer Polytechnic Institute and lives in San Marcos, Texas. Before joining Raw Story, he wrote for Shareblue and AlterNet, specializing in election and policy coverage.
Most companies want to scale efficiently, but few truly understand the mechanics of how work gets done. That’s where business process mapping comes in. Business process mapping visually outlines how ...
School of Materials Science and Engineering, Beihang University, Beijing 100191, China State Key Laboratory of Artificial Intelligence for Materials Science, Beihang University, Beijing 100091, China ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results