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 ...

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 ...

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 ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Artificial intelligence (AI) deals are starting to command nine‑figure cash payments, equity investments, and multibillion‑dollar milestone and royalty structures. They span from out‑licensing ...

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 ...

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 ...

From early warnings to smarter ventilators, artificial intelligence is helping clinicians outpace ARDS, offering hope for more lives saved through personalized, data-driven care. Review: Artificial ...