Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...
The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...
Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to ...
Abstract: Wearable sensor data offer new opportunities for classifying rehabilitation movements in real time. This paper presents a comprehensive evaluation of machine learning (ML) models for ...
Controversial Border Patrol chief Greg Bovino told his men “I’ve got your back, now and always” in his first public statement since being removed from leading immigration sweeps in Minneapolis that ...