Ibogaine’s unconventional “matrix pharmacology” may underlie both its therapeutic promise and unpredictable cardiac risks.

Abstract: The accuracy of embedded non-volatile memory (eNVM) in-memory computing (IMC) designs is primarily limited by analog non-idealities. This article introduces a magnetoresistive random-access ...

Abstract: Photonic integrated circuits are facilitating the development of optical neural networks, which have the potential to be both faster and more energy efficient than their electronic ...

ETL is a header only library for C++ that provides vector and matrix classes with support for Expression Templates to perform very efficient operations on them. At this time, the library support ...

Matrix multiplication stands as one of the most computationally intensive operations in modern computing, forming the backbone of everything from 3D graphics to neural networks and scientific ...

Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...

Parallel Computing is becoming very powerful to handle large amounts of data. In general, there will be multiple processes running parallel to accomplish a particular task. Here comes one biggest ...

Over the past decade, billions of sensors from connected devices have been used to translate physical signals and information to the digital world. Due to their limited computing power, sensors ...

Particles with internal inclusions or cores are ubiquitous in the atmosphere. One example is dust particles coated with water-soluble aerosols such as sulfate or nitrate. For these particles, the dust ...

Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...