The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...
Abstract: This work develops and compares custom models for 3-phase saturated Permanent-Magnet and Synchronous Reluctance Machines, capturing both space harmonic and saturation effects. Both ...
For three years the AI boom ran on capability claims and vibes. This year it runs on invoices. An inference platform most ...
Fifteen college basketball players filed a lawsuit in an Ohio state court claiming the NCAA's new age-based model unfairly ...
The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available. By Tripp ...
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 ...
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 ...
Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...
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 ...
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