TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

WASHINGTON — Boeing announced it has begun 3D printing the structural panels that form the backbone of satellite solar arrays, a step the aerospace giant says will cut production times in half and ...

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 ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

The study investigates using 3D neural organoids made from human pluripotent stem cells (hPSCs) to assess neurotoxicity and neural function. Organoids were imaged to measure spontaneous calcium ...

As rates of depression and suicide in youth spike, experts are asking whether social media makes kids depressed — or whether depressed kids simply spend more time on social media? A new study provides ...

Abstract: This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and ...

Northwood Space demonstrated its prototype phase-array antenna by connecting with a Planet Earth-observation satellite. Credit: Northwood Space/YouTube SAN FRANCISCO — Northwood Space raised $30 ...

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 ...