Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...

How can autonomous vehicles continuously learn new traffic scenarios without forgetting previously learned ones? Researchers ...

One of the biggest challenges before educators in current times is the decline of cognitive ability among students with the rise of AI. But the biggest difficulty is the deceptive nature of the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Researchers at EPFL have developed a deep-learning framework that dramatically improves vehicle re-identification in ...

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

Imagine you and your partner are sitting in the waiting room of your doctor’s office, waiting for your appointment to get birth control – and instead of calculating how many other people will be ...

As an artist and shepherd, Begay facilitates their own creative process, from breeding and shearing to weaving long-undervalued twill patterns.

At Kennesaw State University, learning about nuclear energy isn’t limited to textbooks and lectures. Researchers are ...

These four hands-on activities guide students to explore how their attention and memory function and how that impacts ...

Using place-based learning, portrait analysis, and oral histories, Smithsonian teams up with Historic New England to inspire ...