Researchers develop Bayesian inference for hidden dependence structures in multi-group high-dimensional data

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...
Digi Times

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
IEEE

A Probabilistic STA-Bayesian Algorithm for GNSS-R Retrieval of Arctic Soil Freeze-Thaw States

Abstract: Soil freeze-thaw (F/T) states are a key indicator of the Arctic climate, highlighting the need for their accurate retrieval. Global Navigation Satellite System-Reflectometry (GNSSR) offers a ...
GitHub

Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models

Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This ...
Scientific Research Publishing

Vembandasamy, K., Sasipriya, R. and Deepa, E. (2015) Heart Diseases Detection Using Naive Bayes Algorithm. International Journal of Engineering Technology and Scientific ...

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
JD Supra

The Daily AI Routine: A Practicum for Using AI Tools in Context - in Business and IP Litigation

This blog post and audio file is another in the series "Defending the Algorithm™" written, edited and narrated by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and ...
Wired

A New Algorithm Makes It Faster to Find the Shortest Paths

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
JD Supra

Copyright and Beyond – The Expanding Legal Battleground Over AI Training Data and AI Enterprise Software

This blog post and audio file is another in the series "Defending the Algorithm™" written and edited by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and was authored ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
Yahoo Finance

Normal Computing Announces Tape-Out of World's First Thermodynamic Computing Chip

CN101 accelerates AI inference, linear algebra, and sampling workloads for diffusion models, a foundational milestone toward dramatically more energy-efficient AI. NEW YORK, Aug. 12, 2025 /PRNewswire/ ...