The Hidden Feedback Loops Destroying Value in Your Bank — And Why Nobody Is Measuring Them

Every bank runs models. Credit scoring models. Fraud detection models. Customer risk models. AML transaction monitoring ...
EurekAlert!

New approach to multi-hop question answering enhances robustness using causal inference

Beijing, China — Researchers from Beijing Institute of Technology and other leading institutions have developed a novel approach for improving Multi-Hop Question Answering (MHQA) tasks, which require ...
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 ...
EDN

The truth about AI inference costs: Why cost-per-token isn’t what it seems

The AI industry has converged on a deceptively simple metric: cost per token. It’s easy to understand, easy to compare, and easy to market. Every new system promises to drive it lower. Charts show ...
Forbes

AI Inference Takes Center Stage At KubeCon Europe 2026

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. KubeCon + CloudNativeCon Europe 2026 in Amsterdam made one thing clear. Kubernetes is no ...
Digi Times

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...
InfoWorld

Google targets AI inference bottlenecks with TurboQuant

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...
Forbes

How AI Inference Costs Are Reshaping The Cloud Economy

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...
BMJ

Causal inference in physical activity epidemiology research: an opportunity for better evidence

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...
Frontiers

Gut microbiota, circulating metabolites, and pancreatic cancer risk: a multi-method causal inference study with cross-population validation

Pancreatic cancer (PC) is a lethal malignancy with limited early detection strategies and poor therapeutic response. Emerging evidence implicates the gut microbiota in carcinogenesis, yet whether ...