techxplore

Artificial intelligence can better predict future risk for heart attack patients

A landmark study led by University experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Virginia 2025 ...
IEEE

Model Predictive Control of Pneumatic Artificial Muscle Antagonist Joint Angle Tracking Based on BP Neural Network Modelling

Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...
C&EN

Performance-Based Material Screening of Low-Temperature Direct Ammonia Fuel Cells Using Artificial Neural Networks

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Bleeping Computer

F5 says hackers stole undisclosed BIG-IP flaws, source code

U.S. cybersecurity company F5 disclosed that nation-state hackers breached its systems and stole undisclosed BIG-IP security vulnerabilities and source code. The company states that it first became ...
The Record

CISA warns of ‘significant’ threat to federal networks after nation-state hackers stole F5 source code, undisclosed bug info

The federal government has issued an emergency directive ordering all civilian agencies to update products from F5 after the security company said a nation-state actor had long-term persistent access ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part I: Circuit Design and Convergence Analysis

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...