Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
GitHub

Hiroshi-Okajima/MATLAB_state_observer

Basic Luenberger observer implementation for both continuous-time and discrete-time LTI systems. Demonstrates observer gain design via pole placement and the ...
SciELO

Structural Topology Optimization Based on the Smoothed Finite Element Method

In this paper, the smoothed finite element method, incorporated with the level set method, is employed to carry out the topology optimization of continuum structures. The structural compliance is ...
IEEE

Enhancing MATLAB Code Generation with Large Language Models

Abstract: Large language models (LLMs) have made significant progress in the field of natural language processing, but research on MATLAB code generation remains relatively scarce. As a programming ...
blockchain

Exploring Handwritten PTX Code for GPU Optimization in CUDA

Delve into the potential of handwritten PTX code for enhancing GPU performance in CUDA applications, as outlined by NVIDIA experts. As the demand for accelerated computing continues to rise within ...
ZDNet

10 professional developers on vibe coding's true promise and peril

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
Business Wire

New MathWorks Hardware Support Package Automates Code Generation From MATLAB and Simulink Models to Qualcomm Hexagon Neural Processing Unit Architecture

NATICK, Mass.--(BUSINESS WIRE)--MathWorks, the leading developer of mathematical computing software, today announced the availability of a hardware support package for the Qualcomm® Hexagon™ Neural ...