A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

The market is poised for rapid growth, driven by increased defense and aerospace spending, demand for electronic warfare ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

Trxdynis stated that the Q4 deployment also improves platform stability and scalability, allowing the system to process higher data volumes while maintaining consistent performance. These ...

We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

The tax agency accounts for nearly half of Treasury’s AI use cases, with a heavy focus on IT and some fraud-fighting tech, ...

The conversation about 6G begins with familiar building blocks: Multiple-Input Multiple-Output (MIMO) and full duplex ...

Llyodstern, a technology-driven firm specializing in advanced market analytics, today announced the successful deployment of a real-time AI signal framework across its analytical platform, following ...