For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

The takeaway leadership message from our May issue is clear: Future progress will come from those willing to rethink the machinery — not just the medicine. If there’s a common thread running through ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Investopedia / Zoe Hansen Overfitting occurs when a model is too closely ...

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

Estimation of item difficulty is essential in language test development, but recent attention has shifted toward the need also to explain and predict it. This has practical implications for item ...

Meta’s former chief AI scientist has long argued that human-level AI will come from mastering the physical world, not language. His new startup, AMI, aims to prove it. LeCun argues that most human ...

Yann LeCun’s new venture, AMI Labs, has drawn intense attention since the AI scientist left Meta to found it. This week, the startup finally confirmed what it’s building — and several key details have ...

In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

David lives in Brooklyn where he's spent more than a decade covering all things edible, including meal kit services, food subscriptions, kitchen tools and cooking tips. David earned his BA from ...