Abstract: To address the degradation in radiation performance caused by external deformations in variable-curvature cylindrical conformal antenna arrays, this letter proposes a real-time beam pattern ...

Summary: Researchers have bridged the gap between biology and silicon by creating a 3D programmable device that merges living brain cells with advanced electronics. Unlike previous “brain-on-a-chip” ...

Soft electrodes designed to perfectly match a person's brain surface may help advance neural interfaces for neurodegenerative disease monitoring and treatment, according to a new study led by Penn ...

Abstract: This paper proposes a novel 3D neural network for RGB-D image compression, which treats depth as a temporal dimension of RGB and leverages 3D convolutions for unified cross-modal modeling.

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI In many of the articles where I describe presentations by ...

Leiden researchers can now visualize the connections between brain cells. Their microscopy technique could significantly advance the human quest to understand brain functions. The study is published ...

3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...