Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Keysight Launches Software Solution to Ensure Trustworthy AI Deployment in Safety-Critical Environments

Integrated software solution supports AI development and maintenance, real-world inference, and monitoring for data drift and performance ...
TMCnet

Variant Bio Announces Strategic Target Discovery Collaboration with Boehringer Ingelheim for Kidney Disease

Variant Bio's Inference platform uses LLM technology, machine learning, and advanced statistical genetics to analyze hundreds of billions of data points, moving from genetic association to validated ...

Variant Bio Launches Inference, the World's First Agentic AI Genomic Drug Discovery Platform

Variant Bio, a genomics-driven AI drug discovery company, today announced the launch of Inference, the world's first agentic genomic drug dis ...
EurekAlert!

Large language models: a new frontier in reliability systems engineering

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
BMJ

Causal inference is hard, and advanced statistical analysis is not enough

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
IEEE

InferSpark: Statistical Inference at Scale

Abstract: The Apache Spark stack has enabled fast large-scale data processing. Despite a rich library of statistical models and inference algorithms, it does not give domain users the ability to ...
JSTOR Daily

Scalable statistical inference for averaged implicit stochastic gradient descent

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...
Association for Psychological Science

Powerful Myths: Common Misconceptions About Statistical Power

In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...
Frontiers

Bayesian inference: more than Bayes’s theorem

1 Cornell Center for Astrophysics and Planetary Science (CCAPS) and Department of Statistics and Data Science, Cornell University, Ithaca, NY, United States 2 Department of Statistical Science, Duke ...