IEEE

High-Performance In-Memory Bayesian Inference With Multi-Bit Ferroelectric FET

Abstract: Conventional neural network-based machine learning algorithms often encounter difficulties in data-limited scenarios or where interpretability is critical. Conversely, Bayesian ...
Wired

The Superyacht, the Billionaire, and a Wildly Improbable Disaster at Sea

In the predawn hours of August 19, 2024, bolts of lightning began to fork through the purple-black clouds above the Mediterranean. From the rail of a 184-foot vessel, a 22-year-old named Matthew ...
eLife

Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...
insideHPC

Cerebras Reports 3,000 Tokens Per Second Inference on OpenAI gpt-oss-120b Model

SUNNYVALE, Calif. & SAN FRANCISCO — Cerebras Systems today announced inference support for gpt-oss-120B, OpenAI’s first open-weight reasoning model, running at record inference speeds of 3,000 tokens ...
GitHub

The missing layers package for Bayesian inference.

Easily build Bayesian models from parts, abstract away the boilerplate, and tweak priors as you wish. Inspiration from Keras and Tensorflow Probability, but made specifically for Numpyro + Jax.
GitHub

Kalman and Bayesian Filters in Python

"Kalman and Bayesian Filters in Python" looks amazing! ... your book is just what I needed - Allen Downey, Professor and O'Reilly author. Thanks for all your work on publishing your introductory text ...
C&EN

Bayesian Inference of Binding Kinetics from Fluorescence Time Series

Department of Physics, Arizona State University, Tempe, Arizona 85281, United States Center for Biological Physics, Arizona State University, Tempe, Arizona 85281, United States College of Medical and ...