InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

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 ...
The BMJ

Guiding causal inference research in general medical journals

Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...

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 ...
The Motley Fool

What Is a Statistical Model? Overview and Example

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
Wall Street Journal

What Happens When Politicians Meddle With Economic Data: Argentina’s Example

President Trump fired the head of the BLS, claiming manipulated jobs numbers after a report of slowed hiring. While revisions were more dramatic than usual, these numbers are always revised. WSJ ...
VentureBeat

Mistral just updated its open source Small model from 3.1 to 3.2: here's why

French AI darling Mistral is keeping the new releases coming this summer. Just days after announcing its own domestic AI-optimized cloud service Mistral Compute, the well-funded company has released ...
GitHub

Code repository for Hutchins et al. (2025) "Reconstructing signaling history of single cells via statistical inference".

IRIS is a set of algorithms and functionalities that analyze scRNA-seq data. IRIS can make predictions on cell signaling state by leveraging probabilistic models, generate and plot diffusion maps of ...
Scientific Research Publishing

McElreath, R. (2020) Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.

ABSTRACT: This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, ...
IEEE

Synthetic Aperture Radar Deep Statistical Imaging Through Diffusion Generative Model Conditional Inference

Abstract: Synthetic aperture radar (SAR) plays a crucial role in remote sensing because of its ability to operate in all weather conditions, both day and night. The traditional FFT-based SAR imaging ...
IEEE

Statistical Inference With Limited Memory: A Survey

Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...