Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...

Abstract: This article presents a powerful algorithmic framework for big data optimization, called the block successive upper-bound minimization (BSUM). The BSUM includes as special cases many ...

This repo contains radar datasets accompanying the paper "Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Code Metal, the company that accelerates the path from code to metal with provable AI, today announced its acquisition of Signal Processing Technologies, Inc. (SPT) and the launch of its new Advanced ...

Discover how an influx of artificial intelligence and machine learning will imbue RF/microwave design flows, traditionally ...

Artificial Intelligence (AI), especially deep learning, has significantly impacted audio and video signal processing. With large-scale multimodal datasets and enhanced computational resources, AI is ...

Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.

Marley Health, a clinical intelligence company applying human healthcare science to pet health, today launched to support ...

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Patients taking warfarin who also reach for over-the-counter glucosamine may face a hidden bleeding risk that took years of ...