Unless you worked for Ford’s plastics, paint and vinyls division in the 1980s, you probably don’t know the name Jim Moylan. But you might well know the idea that made this unknown engineer who ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...

Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...

Integrity monitoring is crucial in applications closely related to the safety of human life and property, such as aviation, maritime navigation, autonomous driving, and rail transportation. Receiver ...

For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.

A few weeks ago, my ears perked up when a gaggle of middle school volleyball players in my car were talking about the teachers they don’t like; I have an unfortunate appetite for tweenage gossip, and ...

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...