NSF CAREER Award supports Lehigh research to improve computational memory systems

Cache, as the saying goes, is king

As you waste your lunch hour scrolling through cat videos, snarky celebrity-bashing memes, and videos from your niece's third birthday party, for just a moment consider the majesty of the system behind the screen that enables such lightning-fast access to literally everything under the sun.

Lehigh research team to investigate a "Google for research data"

NSF supports effort to enable academic researchers of every variety to find the data they need

There was a time—not that long ago—when the phrases "Google it" or "check Yahoo" would have been interpreted as sneezes, or a perhaps symptoms of an oncoming seizure, rather than as coherent thoughts.

Today, these are key to answering all of life's questions.

Sensing the content of a single living cell

To test for malignancy or monitor the effectiveness of cancer treatment, a person’s tissue must be extracted, sent to a lab, stained and analyzed by a pathologist—a process that can take days to complete and is subject to human error.

Xuanhong Cheng, associate professor of materials science and engineering, and James Hwang, professor of electrical and computer engineering, have something different in mind.

Growing computers in petri dishes

NSF supports Lehigh interdisciplinary research effort to engineer a living neural network

Will the computers of tomorrow be manufactured, or will they be cultivated?

This question lies at the heart of new research from Lehigh University that aims to engineer a neural network—a computer system modeled on the human brain and nervous system—from actual living cells, and program it to compute a basic learning task.

What's your data privacy style?

New research studies how people navigate a world in which data-collection is ubiquitous

Internet search engines are a treasure trove of user data. Researchers have estimated that more than 4 million search queries are entered into Google every minute.

The use of computer algorithms that can make inferences from user data about a person’s gender, age, political opinions, religious affiliations and other traits is widespread, which has raised serious privacy concerns.