Hackaday

Writing An Optimizing Tensor Compiler From Scratch

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...
IEEE

Low Rank Matrix Differential Equations as Deep Kernel Principal Component Analysis

Abstract: The overall goal of the paper is to develop a deep kernel principal component analysis (KPCA) for time-dependent data that are nonlinearly distributed in high dimensions. Instead of ...
InfoQ

Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...
Hosted on MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Gingrich: Time for 'national conversation' about immigrants living ...
IEEE

Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter

Abstract: This paper presents the validation of a Continuous Control Set Model Predictive Control (CCS-MPC) algorithm for a 27-cell Modular Multilevel Matrix Converter (M3C) operating between two ...
Science|Business

New EU research data space set to ease AI data shortages, researchers say

As artificial intelligence drives demand for vast, high-quality datasets, the EU has moved closer to creating a unified research data space. This promises to give AI, and scientists, seamless access ...