IEEE

A Data and Model-Driven Deep Learning Approach to Robust Downlink Beamforming Optimization

Abstract: This paper investigates the optimization of the probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input single-output (MISO) downlink ...
GitHub

MITRE ATT&CK® Data Model

The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
IEEE

Model and Data Dual-Driven: A Promising Receiver Design for 6G Wireless Communications

Abstract: As an emerging paradigm for 6G intelligent communications, deep learning (DL) has delivered remarkable performance gains in physical layer communications and has found its way into many ...
GitHub

Infosys Model Inference Library

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.