Pengwei Zhu Highlights the Role of Deep Statistical Machine Learning in Asthma Research and Target Discovery

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
technologynetworks

AI vs Traditional Statistical Analysis in HTS

High-throughput screening (HTS) generates data at a scale that fundamentally shapes the analytical choices available to drug discovery teams. The field of AI vs statistical screening has moved from an ...
Fred Hutch

Statistical Learning and Data Science Hub

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

IIT Delhi opens admissions for online applied AI, ML and decision science course 2026

IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

Time-slip in AI sepsis models may inflate results, risking under- or overtreatment

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, ...
Aalto University

Several Postdoctoral researcher and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals

Samuel Kaski’s two-part research lab in ELLIS Institute Finland (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for ...