inc42

What Are Bayesian Networks? Here’s All You Need to Know

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...
InfoQ

Amazon Releases Fortuna, an Open-Source Library for ML Model Uncertainty Quantification

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Semiconductor Engineering

Memory Devices-Based Bayesian Neural Networks For Edge AI

A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...
Design-Reuse

CEA-Leti Paper in Nature Communications Reports First Complete Memristor-Based Bayesian Neural Network Implementation For Real-World Task

GRENOBLE, France – Dec. 7, 2023 – A team comprising CEA-Leti, CEA-List and two CNRS laboratories has published a new paper in Nature Communications presenting the first complete memristor-based ...
University of Sheffield

Jonathan Owen

I am a Postdoctoral Research Associate working on the NERC funded project “Aerosol-MFR: Towards Maximum Feasible Reduction in Aerosol Forcing Uncertainty”, working with Dr Jill Johnson and Prof Jeremy ...