Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google

Early adopters are using the model for diverse applications, such as auto-clipping highlights from live sports, which ...
Hosted on MSN

Mastering linear algebra with Python for ML

Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...
SciELO

Neural model for calculating the bearing capacity of driven and bored piles

Predicting the bearing capacity of piles is a significant challenge for Geotechnical Engineering, given the need to estimate soil parameters through geotechnical tests and correlations and knowledge ...
IEEE

Adaptive Sliding Mode Control for Quadrotor UAVs Under Disturbances Using Multi-Layer Perceptron

Abstract: This paper introduces a novel adaptive sliding mode control (SMC) framework for quadrotor unmanned aerial vehicles (UAVs) operating in the presence of external disturbances and parametric ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
IEEE

Work Function Variation Effect Prediction on Heterojunction Tunnel FET Using Multi-Layer Perceptron-Based Neural Network Model

Abstract: This paper proposes a multi-layer perceptron (MLP)-based neutral network (NN) model to efficiently and reliably predict the effect of metal gate work function variation (WFV) on the ...