At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, in ways that have led to financial savings and improved patient outcomes.

In April 2025, the US Food and Drug Administration (FDA) published a roadmap for leveraging new approach methodologies (NAMs), including in silico approaches such as artificial intelligence (AI), to ...

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of ...

The emergence of artificial intelligence has fundamentally changed the technical interview landscape, reshaping how tech ...

Data stream clustering is a critical operation in various real-world applications, ranging from the Internet of Things (IoT) to social media and financial systems. Existing data stream clustering ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Google updates its structured data documentation to clarify how merchants should implement return policies and loyalty programs.

Company Highlights in the Data Acquisition System Startups/SMEs Companies Assessment: StrainSense was founded in 2002 and is ...

The rise of AI-driven development, the proliferation of microservices, and the adoption of serverless architectures have ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

AI is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI ...