Meta launches image generation model with coding, search capabilities

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
GitHub

Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
IEEE

Hardware/Software Implementation of Fuzzy-Neural-Network Self-Learning Control Methods for Brushless DC Motor Drives

Abstract: This paper presents a study of different fuzzy neural network (FNN) learning control methods for brushless dc (BLDC) motor drives. The FNN combines fuzzy logic (FL) with the learning ...
C&EN

Coal Classification Based on Reflection Spectroscopy and the IAT-TELM Algorithm

School of Information Science and Engineering, Northeastern University, Shenyang 110819, China Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern ...
Europe PMC

Multiobjective optimization for the bed structure of a CNC gantry machine tool based on neural networks and intelligent optimization algorithms.

This study proposes a multiobjective optimization design method for the bed structure of CNC gantry machine tools to enhance their mechanical performance. A sensitivity analysis was first conducted to ...
IEEE

Nam Theun 2 Hydropower Plant Energy Prediction Using Artificial Neural Network and Genetic Algorithm

Abstract: Most hydropower plants require accurate energy or reservoir inflow ahead prediction for ensuring effective energy declaration planning and revenue maximization. This paper presents a ...
Frontiers

Inverter fault diagnosis based on Fourier transform and evolutionary neural network

The fault diagnosis of the inverter is fundamental to energy intelligence. Due to the complex characteristics of the inverter (e.g., high-dimensional decision and poor stability), it is challenging to ...
Frontiers

Using the FA-NAR Dynamic Neural Network Model and Big Data to Monitor Dam Safety

In view of the dynamics of the dam safety monitoring data, the sensitivity to time and space, and the nonlinearity, it has been proposed to use the firefly algorithm to search to determine the delay ...
C&EN

Artificial Neural Networks Applied to Colorimetric Nanosensors: An Undergraduate Experience Tailorable from Gold Nanoparticles Synthesis to Optical Spectroscopy and Machine ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nowadays, technologies involving nanoparticles, colloids, sensors, and artificial ...
eLife

Preserving inhibition with a disinhibitory microcircuit in the retina

Previously, we found that in the mammalian retina, inhibitory inputs onto starburst amacrine cells (SACs) are required for robust direction selectivity of On-Off direction-selective ganglion cells (On ...