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 ...
IEEE

An Ultrathin Filtering Transmitarray Antenna Based on Machine-Learning-Enabled Phase Synthesis

Abstract: A machine-learning (ML)-enabled phase synthesis method is proposed in this letter to optimize filtering transmitarray antennas (TAs). First, a single-layer filtering TA element is proposed, ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
IEEE

Generative Deep Learning-Enabled Multi-Objective Synthesis of Dual-Polarized Wide-Angle Loop-Family Frequency Selective Surfaces

Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...
Microsoft

Synthesis and machine learning for heterogeneous extraction

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...