CIO

Prompt governance is the new data governance

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

From centralised data centers to decentralised AI training: Why algorithms are changing who controls AI

For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...
Journal of Medical Internet Research

Validation of Ecological Momentary Assessment With Reference to Accelerometer Data: Repeated-Measures Panel Study With Multilevel Modeling

Waist-worn sensors provided by ActiGraph captured accelerometer data while participants completed 3 self-report measures of PA. The multilevel modeling method was used with EMA, GPAQ, and BAR as ...
IEEE

Machine Learning Based Data Validation for Signal Integrity and Power Integrity Using Supervised Time Series Classification

Abstract: A novel approach for the validation of data in signal integrity and power integrity using machine learning is proposed. This approach presents an alternative to the feature selective ...
IEEE

A Tutorial on SDR-based NB-IoT PHY: Synchronization, Demodulation and Validation

Abstract: Low-Power Wide-Area Networks (LPWANs) have become fundamental to the Internet of Things (IoT), with NB-IoT (Narrowband Internet of Things) standing out due to its seamless integration with ...