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" ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
The Next Platform

For Financial Services Firms, AI Inference Is As Challenging As Training

A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running ...
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 ...
insideHPC

How MiTAC Helps Organizations Scale for Both AI Training and Inference

[SPONSORED GUEST ARTICLE] As the demand for AI infrastructure becomes a mainstream trend, companies are facing an unprecedented challenge: how to build a compute core that is both powerful and ...
ExtremeTech

Intel Details Its Nervana Inference and Training AI Cards

Hot Chips 31 is underway this week, with presentations from a number of companies. Intel has decided to use the highly technical conference to discuss a variety of products, including major sessions ...
InfoWorld

Using Hugging Face machine learning models in Azure

Microsoft’s recent Azure Open Source Day showed off a new reference application built using cloud-native tools and services, with a focus on Microsoft’s own open source tools. The app was built to be ...