Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
University of Innsbruck

DiSCourse Seminar with Sebastian Grandis

DiSCourse - The Digital Science Seminar Series on: Data Science in Cosmology ...

Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Tech Xplore on MSN

Ultrafast nanolasers mimic how the brain imagines unseen parts of the world

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...
PharmExec

The Next Generation of Trial Designs: Supplementing Trials with Real-World Data

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
TCTMD

Case Examples of Bayesian Study Designs Used to Accelerate Assessments of Device Safety and Efficacy in SHD

Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
GitHub

Does DoWhy support inference and variable manipulation on hybrid network? How to write this simple example

I did not find an example using DoWhy to do inference and variable manipulation on a hybrid network, which has both categorical and continuous variables. I tried the ...
GitHub

psoerensen/bayesian-linear-regression

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...