Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google's Gemini model to adapt its persistence across different devices.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...

Abstract: To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

AI is searching particle colliders for the unexpected ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...

Predictive genomics enhances breast cancer management by integrating predictive medicine, personal genomics, and translational bioinformatics for personalized care. Key applications include ...