CES 2026: AI compute sees a shift from training to inference

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...

Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
eLife

Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...
Business Insider

FAR Labs to Host Exclusive AI and DePIN Networking Event During Binance Blockchain Week

FAR Labs will host "Proof of Inference: DePIN & AI Builders Night," an invite-only networking event, during Binance Blockchain Week on December 3rd, 2025, at Monkey Bar Dubai. The evening will gather ...
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 ...
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 ...
Frontiers

Changes in facial expressions can distinguish Parkinson’s disease via Bayesian inference

Objectives: We aimed to clarify the influence of facial expressions on providing early recognition and diagnosis of Parkinson’s disease (PD). Methods: We included 18 people with PD and 18 controls.
Frontiers

A landslide susceptibility assessment method using SBAS-InSAR to optimize Bayesian network

Landslide susceptibility assessment is crucial to mitigate the severe impacts of landslides. Although Bayesian network (BN) has been widely used in landslide susceptibility assessment, no study has ...