Why Causal Value Attribution Will Define the Next Frontier of Agentic AI in Financial Services

Financial services has always been an industry where accountability is non-negotiable. Every credit decision carries a paper ...
Semiconductor Engineering

Causal Inference for AMS Design (U. of Florida)

A new technical paper, “Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis,” was published by the University of Florida. “Analog-mixed-signal (AMS) circuits are highly ...
Business Insider

Nvidia expects to sell $1 trillion in AI chips through 2027 — and it's pushing further into inference

Nvidia CEO Jensen Huang debuted a new AI inference system during his GTC conference keynote. The product incorporates technology from Groq, with which Nvidia made a $20 billion deal. The chip can ...
Forbes

The Inference Ceiling: Managing The Marginal Costs Of AI

In my day-to-day work, I have spent countless hours optimizing model performance, only to confront a sobering reality: In 2026, the primary barrier to widespread AI adoption has shifted. While raw ...
publichealth.jhu

Biostatistics Dept. Seminar | Space-Time-Meta Causal Inference: A Weighting Perspective

Abstract: Causal inference with spatial, temporal, and meta-analytic data commonly defaults to regression modeling. While widely accepted, such regression approaches can suffer from model ...
IEEE

Direct Causal Inference for Out-of-Distribution Node Classification in Internet of Things

Abstract: Graph neural networks (GNNs) have achieved remarkable success in node classification tasks, yet their performance significantly degrades when encountering out-of-distribution (OOD) data due ...
IEEE

Causal Inference Via Style Bias Deconfounding for Domain Generalization

Abstract: Deep neural networks (DNNs) often struggle with out-of-distribution data, limiting their reliability in real-world visual applications. To address this issue, domain generalization methods ...
InfoWorld

AI is all about inference now

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...
eLife

Correlation detection as a stimulus computable account for audiovisual perception, causal inference, and saliency maps in mammals

Animals excel at seamlessly integrating information from different senses, a capability critical for navigating complex environments. Despite recent progress in multisensory research, the absence of ...
GitHub

GPU inference error in ai.djl.examples.inference.clip.ImageTextComparison

GPU inference error in ai.djl.examples.inference.clip.ImageTextComparison #3810 Open geekwenjie opened last week ...