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 ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Labmate Online

ELRIG 2025: How Novo Nordisk is showing label-free route to functional phenotyping in brightfield high-content imaging

At ELRIG 2025 Dr Barak Gilboa of Novo Nordisk unveiled a suite of AI-enabled approaches that turn brightfield microscopy from a low-contrast focusing aid into a powerful modality for high-content ...
IEEE

On Using Simulated Synthetic Aperture Sonar Data to Train CNNs

It is demonstrated that simulated, model-based synthetic aperture sonar (SAS) data can be used to train convolutional neural network (CNN) classifiers that reliably perform target discrimination in ...
C&EN

Artificial Neural Network and Non-Linear Regression-Based Optimization of the Degradation of Acid Black 52 Using Atmospheric Plasma Process

Laboratorio de Análisis y Sustentabilidad Ambiental, Escuela de Estudios Superiores de Xalostoc, Universidad Autónoma del Estado de Morelos, Ayala, Morelos 62715, Mexico ...