A multi-cohort study reports moderate discrimination for predicting incident disability in older adults using a ...

Interpretable machine-learning models trained on acute-phase nerve conduction data from 99 Korean patients showed preliminary ...

Philips' first chief AI officer, Shez Partovi, discussed how his role will depart from his previous work as chief innovation ...

Ethical, evidence-based internal auditing is crucial for governance and growth amid tech shifts, with independence and judgment indispensable.

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...

Michael A. Gold of Jeffer Mangels & Mitchell LLP explains why AI-native security incidents require a different response and outlines preparedness measures for a new type of incident response plan.

Just twelve months into our marriage, my husband and I hit a roadblock that no one ever warns you about: the nightly war of ...

Most organizations already have a way to receive reports. Far fewer can show, case by case, who was notified, what evidence was gathered, how ...

Some AI systems have produced deceptive behavior researchers did not explicitly teach them to perform. The harder question is what happens as those systems become more capable and harder to monitor.

Researchers trained a machine learning model to estimate a person’s age from short voice recordings. In a study of nearly ...

I Reran All the Matches Right Before Announcing the Boat Race Winning Model—Until I Realized the Flaws in the Comparison ...

Emperador ransomware listed AB InBev on Oct. 25, claiming 3.9 GB, Azure blobs and PKI certificates for $1M in BTC. Here is ...