Network World

Nvidia claims 10x cost savings with open-source inference models

Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to Blackwell’s native low-precision NVFP4 format further reduced the cost to just 5 ...

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 ...
Network World

Microsoft launches its second generation AI inference chip, Maia 200

Calling it the highest performance chip of any custom cloud accelerator, the company says Maia is optimized for AI inference on multiple models. Signaling that the future of AI may not just be how ...
IEEE

Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
Scientific Research Publishing

Hill, J.L. (2011) Bayesian Nonparametric Modeling for Causal Inference. Journal of Computational and Graphical Statistics, 20, 217-240.

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...
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 ...
IEEE

High-Performance Bayesian Neural Network Inference Accelerator Based on FPGA

Abstract: Bayesian Neural Networks (BNNs) offer robust uncertainty estimation capabilities through probabilistic modeling, yet their prohibitively high computational complexity and resource ...
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 ...
SiliconANGLE

D-Matrix introduces AI network accelerator card for ultra-low-latency inference

Artificial intelligence computing infrastructure startup d-Matrix Corp. today unveiled a custom network card named JetStream designed from the ground up to support high-speed, ultra-low-latency AI ...
Frontiers

Pruning Bayesian networks for computationally tractable multi-model calibration

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...