As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

The reliability of public polling has been under scrutiny since major electoral mispredictions in 2016 and 2020, when ...

Risk management is becoming more and more important in the financial industry, but the models used to determine exposure—from ...

A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports continuous learning without losing control of causality. For engineers, that’s ...

AI and ML are changing chromatography. Hear from an expert about the hype, the challenges and the opportunities seen today.

To understand how microarray technology is evolving to meet growing scientific demands, Technology Networks spoke with Thermo ...

Explore how big data influences AI in drug discovery and why biologically rich data matters more than sheer size.

Algorithms can’t read your inner signals. Trusting your gut means knowing when your feelings are the crucial missing data ...

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

The P&C Insurance industry is undergoing a major change, due to the combination of digital innovation, customer expect ...