Nanowerk

Atomic jitters power a new kind of probabilistic AI chip

Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian ...
diginomica

Enterprise hits and misses - Bayesian uncertainty makes for better AI, tokenomics gets demystified, and Meta's AI Avocado isn't ripe yet

This week - Oracle earnings punch back on the SaaS-is-dead narrative, but Adobe's CEO departure shows that market upheaval ...
The New York Times

A Social Network for A.I. Bots Only. No Humans Allowed.

A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of artificial intelligence. By Cade Metz Reporting from San Francisco Last Wednesday, ...
Ars Technica

Why has Microsoft been routing example.com traffic to a company in Japan?

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...
BMJ

Comparative efficacy and safety of high-dose rifamycin regimens for tuberculosis treatment: a Bayesian network meta-analysis

Objectives High-dose rifamycin (HDR) regimens have demonstrated significant potential in tuberculosis (TB) treatment. This study aims to evaluate the efficacy and safety profile of different HDR ...
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 ...
IEEE

Improving Transferability of Adversarial Examples via Bayesian Attacks

Abstract: The transferability of adversarial examples allows for the attack on unknown deep neural networks (DNNs), posing a serious threat to many applications and attracting great attention. In this ...
C&EN

Integrated Fault Tree Analysis and Bayesian Network for Fire Risk Assessment in University Laboratories

The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...
ascopubs.org

Using Bayesian Networks to Predict Urgent Care Visits in Patients Receiving Systemic Therapy for Non–Small Cell Lung Cancer

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial Patients with NSCLC completed ...
GitHub

DOC: Learning parameters for Discrete Bayesian Networks or Hybrid Bayesian Network

I have a real world project in the following scenario: I have a predefined network skeleton in DAG format. Our dataset has 1654 nodes, 2965 edges. I also have a dataset with shape (3000, 1654). Among ...
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 ...