In the early 1980s, when I was teaching and doing research at Yale’s computer science department and School of Management, my colleagues and I dreamed about the great promises of artificial ...

With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

We remember when the transputer first appeared. Everyone “knew” that it was going to take over everything. Of course, it didn’t. But [Oscar Toledo G.] gives us a taste of what life could have been ...

Stanford University has been developing Plasticine, which allows parallel patterns to be reconfigured. “ABSTRACT Reconfigurable architectures have gained popularity in recent years as they allow the ...

Hammerspace Inc. is revolutionizing data storage by doing the formerly impossible: unifying data through a parallel NFS, or network file system, architecture. The technology has a lot of potential in ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

The traditional processors designed for general-purpose applications struggle to meet the computing demands and power budgets of artificial intelligence (AI) or machine leaning (ML) applications.

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.