Machine Learning | Rice Wireless

Information Theory & ML for Wireless

Tue, 05 May 2026 00:00:00 +0000

Overview

Our information-theoretic and machine-learning research provides the foundations for next-generation wireless. Topics include distributed network capacity, learning-based MIMO detection, ML-driven schedulers and link adaptation, and AI for RF data understanding.

NVIDIA Funds Rice Researchers for Machine Learning for Massive MIMO

Wed, 10 Nov 2021 00:00:00 +0000

Professors Ashutosh Sabharwal and Santiago Segarra are partnering with Nvidia’s Dr. Chris Dick to create machine learning tools designed for massive MIMO applications.

NVIDIA Funds Rice Researchers for Machine Learning for Massive MIMO

Wed, 10 Nov 2021 00:00:00 +0000

Professors Ashutosh Sabharwal and Santiago Segarra are partnering with Nvidia’s Dr. Chris Dick to create machine learning tools designed for massive MIMO applications.

RFDataFactory Develops Tools and Datasets for Machine Learning for Wireless

Wed, 10 Nov 2021 00:00:00 +0000

In partnership with Northeastern University, Prof. Ashutosh Sabharwal’s team will build software infrastructure for dataset generation and create a centralized searchable database providing public access to wireless research datasets.

RFDataFactory Develops Tools and Datasets for Machine Learning for Wireless

Wed, 10 Nov 2021 00:00:00 +0000