Quantum neural networks get their first hardware test

Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the ...
Analytics India Magazine

MATLAB’s Unexpected Collision With Agentic AI

MathWorks is integrating modern AI coding agents with its traditional engineering software, MATLAB. This move surprised many users due to the generational difference between the platforms. MATLAB and ...
IEEE

Deep Neural Network-Based Model Predictive Control for SIMO DC-DC Converter

Abstract: The application of model predictive control (MPC) in single-inductor multiple-output (SIMO) DC-DC converters can effectively address the cross-regulation problem. However, the high ...
PNAS

A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level

We demonstrate that a neural network automatically solves, explains, and generates university-level problems from the largest Massachusetts Institute of Technology (MIT) mathematics courses at a human ...
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

Wiener-Neural-Network-Based Modeling and Validation of Generalized Predictive Control on a Laboratory-Scale Batch Reactor

Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India Article Views are the COUNTER-compliant sum of full text article ...
PNAS

Responsive manipulation of neural circuit pathology by fully implantable, front-end multiplexed embedded neuroelectronics

We introduce a multiplex-then-amplify (MTA) scheme that requires only one amplifier per multiplexer, significantly reducing the number of components in multichannel acquisition systems while enabling ...
IEEE

Artificial Neural Network Model for Design Optimization of 2-stage Op-amp

Abstract: The existence of multi-dimensional tradeoffs among performance metrics is an impediment to the development of reliable Electronic Design Automation (EDA) tools for the design of analog ...