Morning Overview on MSN

Scientists pinpoint neural roots of schizophrenia and bipolar disorder

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
IEEE

Genetic Algorithm-Based Search Space Exploration to Generate Best Convolutional Neural Network

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
Scientific Research Publishing

Rawat, A., Yadav, R.N. and Shirivastava, S.C. (2013) Neural Modeling of Antenna Array Using Radial Basis Neural Network for Directivity Prediction. International Journal of ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...
BioSpace

Fifty 1 Labs, Inc. (FITY) Acquires Genetic Networks, Working to Secure Multi-Million Dollar DoD Contracts, and Positions for Rapid Expansion in Biotech Innovation

$10 Million Acquisition Bolsters FITY's Leadership with Dr. Gennaro D'Urso as CEO and Chairman MELBOURNE, Fla., March 20, 2025 (GLOBE NEWSWIRE) -- via IBN-- Fifty 1 Labs, Inc. (OTC: FITY), a Nevada ...
Scientific Research Publishing

Genetic Algorithms and Neural Network Approach in Determining the Directions of Linear Patch Antenna Arrays ()

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
IEEE

Identifying Patterns for Convolutional Neural Networks in Regression Tasks to Make Specific Predictions via Genetic Algorithms

Abstract: Convolutional neural networks (CNNs) are effective tools for regression tasks. However, their black-box nature limits their applicability in high-impact and high-risk tasks. In this paper, a ...