Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

For enterprise adoption to achieve its full potential, particularly in mission and safety-critical applications, several ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

A new AI algorithm is nearly twice as accurate as physicians at forecasting a sudden cardiac arrest in people with ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

The researchers behind the new AI system explained IPF is a good candidate for this type of technology, since existing ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

While deep learning-based FAS models have made remarkable progress, the study highlights critical challenges that undermine ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.