For three years the AI boom ran on capability claims and vibes. This year it runs on invoices. An inference platform most ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

Want to learn more about business model dynamics? Read about the Value Equation model and how to find bigger returns.

Fifteen college basketball players filed a lawsuit in an Ohio state court claiming the NCAA's new age-based model unfairly ...

Abstract: This paper addresses the state estimation problem for new operation modes when there is insufficient measurement data available to learn model parameters. The proposed method, called the ...

The prediction of epileptic seizure, like the disease itself, is a very old but largely unresolved problem. The prediction may greatly improve the quality of life for an epileptic patient. A low-cost ...

The state variable active filter (SVAF) is an active filter you don’t see mentioned much today; however, it’s been a valuable asset for us old analog types in the past. This became especially true ...

This is the third in a three-blog series on PLDC. The first installment was “Improving Uniformity and Linearity for All Masks,” from January 29, 2025. The second blog was “Three Ways Curvy ILT ...

Physicists and marine biologists built a quantitative framework that predicts how coral polyps collectively construct a variety of coral shapes. Since before she could remember, Eva Llabrés was a ...

The STAC Machine Learning Model (MLM) extension provides a standard set of fields to describe machine learning models trained on overhead imagery and enable running model inference. The main ...

Abstract: Real-time perception of the power system operating state with high resolution is essential for enabling online dynamic security assessment. However, challenges associated with limited ...