New Electronics

Analogue’s AI generation

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

New AI method flags fluid flow tipping points before simulations break down

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Johnson & Johnson: Is The Stock Still Undervalued After The Rally? A Quantitative Approach

Johnson & Johnson (JNJ) is rated a Hold: defensive quality, DCF valuation, easing litigation, and dividend outlook—see key ...
CarDekho

2026 Skoda Kushaq Monte Carlo Variant Detailed

Skoda has launched the Kushaq with prices starting from Rs 10.69 lakh. The facelift brings subtle styling changes, new features and even a new transmission option to the package. And unlike before, ...

Retirees keep avoiding the one annuity that actually works

Most retirees dismiss annuities too quickly. The qualified longevity annuity contract might be the one they have overlooked all along.
GitHub

Monte Carlo Methods applied to the Black-Scholes financial market model

This project implements a Monte Carlo simulation of the Black-Scholes financial model, using both the European and the Asian options. It contains an OpenCL C++ kernel, to be mapped to FPGA via SDAccel ...
IEEE

Testing Bayes Error Rate Estimators in Difficult Situations Using Monte Carlo Simulations

Abstract: The Bayes Error Rate (BER) is the fundamental limit on the achievable generalizable classification accuracy of any machine learning model due to inherent ...
IEEE

Monte Carlo Simulation-Based Method for Evaluating Sample Thickness Variation to Improve Reliability of Dielectric Strength Assessment

Abstract: This study investigated the thickness effect (the influence of sample thickness variation) on the assessment of the dielectric breakdown strength in XLPE and PP insulators. A Monte Carlo ...