Nature

Graphical Models and Bayesian Networks

Graphical models form a cornerstone of modern data analysis by providing a visually intuitive framework to represent and reason about the complex interdependencies among variables. In particular, ...
Nature

Graphical Models and Covariance Matrix Estimation

Graphical models provide a robust framework for representing the conditional independence structure between variables through networks, enabling nuanced insight into complex high-dimensional data.
mccormick.northwestern.edu

COMP_SCI 374: Causal Graphical Models

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

Deepinfra lands $107M in funding to build out its dedicated inference cloud for open-source models

Deepinfra lands $107M in funding to build out its dedicated inference cloud for open-source models - SiliconANGLE ...
The Next Platform

New Google Networks Tuned Up For GenAI Inference And Training

It is almost certainly not a coincidence that a networking expert at Google has risen to the top to be put in charge of the ...
Forbes

Inference At The Edge: How The World’s Networks Will Need To Respond As AI Advances

When you ask an artificial intelligence (AI) system to help you write a snappy social media post, you probably don’t mind if it takes a few seconds. If you want the AI to render an image or do some ...
Reuters

Fortytwo Introduces ‘Swarm Inference’: A New AI Architecture That Outperforms Frontier Models on Key Benchmarks

MOUNTAIN VIEW, CA, October 31, 2025 (EZ Newswire) -- Fortytwo, opens new tab research lab today announced benchmarking results for its new AI architecture, known as Swarm Inference. Across key AI ...
RCR Wireless News

F5 report shows enterprises bringing AI inference in-house

The F5 2026 SOAS report reveals that 77% of organizations prioritize AI inference over training, increasingly choosing hybrid ...
Network World

Arrcus targets AI inference bottleneck with policy-aware network fabric

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...
Business Wire

Arrcus Delivers Record Breaking 3x Bookings Growth in 2025, and Introduces AI-Policy Aware Arrcus Inference Network Fabric

Purpose-built network fabric designed to accelerate delivery of real-time and agentic AI applications with improved throughput and power efficiency while reducing token retrieval time, latency, and ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
Network World

Nvidia targets inference as AI’s next battleground with Groq 3 LPX

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads. 2026 is predicted to be the year that ...