A novel unsupervised algorithm, named Deep Learning-based Error Image Prior (DLEIP), is proposed for lung Electrical Impedance Tomography (EIT). An Attention-gu ...

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.

Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...

The use of deep learning (DL) to real-world applications, such as computer vision, speech recognition, and robotics, has become ubiquitous. This can be largely attributed to a virtuous cycle between ...

A personal collection of core deep learning architectures reimplemented from scratch for study and mastery. Includes Transformers, CNNs, RNNs, Autoencoders, GANs algorithms. - mhngu23/ai-architectures ...