Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Datacenter Dynamics

What is AI inference?

Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...
SDxCentral

AI inferencing will define 2026, and the market's wide open

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...
JSTOR Daily

A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE

It has been estimated that about 30% of the genes in the human genome are regulated by microRNAs (miRNAs). These are short RNA sequences that can down-regulate the levels of mRNAs or proteins in ...
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 ...

Inference is splitting in two — Nvidia’s $20B Groq bet explains its next act

Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...
Bisnow

AI Adoption Creating Demand For 'Last-Mile' Data Centers

Artificial intelligence computing demand is shifting as more people use the technology, and it is expected to push data centers closer to population centers. Big Tech’s AI arms race has sparked a data ...