Artificial intelligence (AI) and machine learning (ML) have evolved from innovative tools to essential components of modern cybersecurity. They help predict insider threats, strengthen zero-trust ...

Software applications often list artificial intelligence (AI) capabilities in their feature sets, and data backup tools are no exception. Software supplier use of AI and machine learning (ML) in this ...

Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare informatics, though, the full potential of health data has been ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. In the preclinical stages, for example, companies are using advanced AI ...

Today’s system-on-chip (SoC) designs integrate unprecedented numbers of diverse IP cores, from general-purpose CPUs to specialized hardware accelerators, including neural processing units (NPUs), ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...