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 ...

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 ...

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 ...

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), ...

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 ...

Asset management and capital markets firms are operating in an environment marked by increasing complexity and change. With rising transaction volumes, operational inefficiencies and shifting client ...

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Just in time for the next generation of AI PC processors, Microsoft has announced that Windows ML is finally ready for production. It’s a key development for local AI and the chips that power its use.

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...