Aerospace and Mechanical Insider on MSN

AI-driven simulation platforms advance multiphysics engineering

The latest wave of simulation technology releases from Ansys, Cadence, and Avnet underscores a growing convergence of ...
This mirrors exactly the workflow used at aerospace companies (Boeing, Airbus, NASA JPL, DJI) and is directly aligned with the inter-IIT Tech Meet Aerial domain challenge format.
Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?
Abstract: This paper presents a cost effective control algorithm for standalone batteryless photovoltaic (PV) systems. The control is driven by a fuzzy-based maximum power point tracker which has the ...
As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...
Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...
Abstract: Bipedal locomotion in uncertain environments is a challenging control problem. In order to reduce the effect of imprecise and noisy measurements, performance enhancement, and energy ...
This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...
A research team led by Kyung Mun Min and Seonghwan Choi of Materials Processing Research Division (Korea Institute of ...
Here's a practical cheat sheet of AI tools that can help engineers design circuits, optimize boards, simulate systems, write ...
These new AI-focused SBCs pair multicore processors with integrated NPUs for edge computing, robotics, and embedded ...