On April 18, 2025, the United States Court of Appeals for the Federal Circuit ("Federal Circuit") issued a significant decision in ...

In today’s hyper-competitive environment, partnerships are essential for sustaining growth and innovation in your space and ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer ...

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Abstract: Federated Learning (FL) enables machine learning tasks to ... inference models of varying capacities. Building on RPN, we propose a two-stage process comprising prototype construction ...