This type of pricing holds enormous potential for retailers as long as they stay vigilant of regulatory moves and consumer ...

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 headlines have been full of doom and gloom about the jobs that will be lost and industries that will suffer thanks to the ...

What Is the Role of Agentic AI in Managing Machine Identities? How can organizations enhance their security measures where teeming with sophisticated cybersecurity threats? The answer may be in ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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 ...

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...