The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Recent advances in artificial intelligence are accelerating discoveries in chemistry, from explainable deep learning models for materials science to AI tools that simplify molecular property ...

The sense that a dead person is still with us is both eerie and common: can we find a naturalistic explanation for it?

BOSTON — Across traditions and centuries, contemplatives have described a similar inner movement: the ordinary sense of self loosens, the boundary between “me” and “everything else” grows permeable, ...

Abstract: Financial fraud detection systems must operate at a very large scale, under extreme class imbalance, and with strict constraints on false alarms, where small changes in attacker behavior can ...

Abstract: This work presents QSANN-ViQ, an enhanced hybrid quantum-classical architecture for explainable dementia classification using MRI data. The model integrates a lightweight convolutional ...

One-off projects can pay the bills, but they don’t always build a business. This is what freelancers need to do instead. Providing ongoing services like retainers, package deals and strategic ...

Network infrastructures that can be relied upon 24/7 are the backbone of any modern digital enterprise, business continuity, user experience or cybersecurity strategy. However, network management has ...

Aggression and self-harm often co-occur in individuals with a history of early-life trauma-a connection that has largely been documented by self-reporting in research and clinical settings. Adding to ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...