How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Optics

Metalenses and neural array allow compact high-quality imaging device

A project group including Tongji University, Stanford University and Shanghai Institute of Technical Physics has developed a camera said to help solve the inherent imaging trade-off between bandwidth ...
IEEE

Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression

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 ...
Nanowerk

Scalable transition metal dichalcogenide memtransistor arrays for energy-efficient artificial neural networks

Ultra-thin MoS2 memtransistor arrays feature controlled Schottky barriers, low variability, and reliable switching, boosting performance for neuromorphic image recognition. (Nanowerk News) Researchers ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

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, ...
EurekAlert!

3D printed antenna arrays developed for flexible wireless systems

Prototype of a chip-scale RF signal processor with 3D-printed antenna arrays for antenna-in-structure or wearable wireless systems. PULLMAN, Wash. – Washington State University-led researchers have ...
SpaceNews

Boeing turns to 3D printing to speed production of satellite solar arrays

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 ...
Microsoft

RenderFormer: How neural networks are reshaping 3D rendering

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 ...
International Monetary Fund

A Python Package to Assist Macroframework Forecasting: Concepts and Examples

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
GitHub

Simple Neural Network Models

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 ...
Frontiers

Advanced neural activity mapping in brain organoids via field potential imaging with ultra-high-density CMOS microelectrode arrays

Introduction: Human iPSC-derived brain organoids and assembloids have emerged as promising in vitro models for recapitulating human brain development, neurological disorders, and drug responses.