Metadata management moves to the center of AI scale challenges

Metadata management is reshaping how enterprises scale AI, shifting focus from raw storage growth to visibility, efficiency and control.

I've worked at Google, Amazon, and Salesforce. Here's how to prep for an interview in the AI era, no matter your experience level.

Akaash Vishal Hazarika, a senior software engineer, explains how AI integration and prompt engineering are changing hiring in ...

Meta laying off 331 workers in Washington state as part of broader cuts to Reality Labs division

The heaviest hit facility is the Reality Labs office in Redmond, followed by the Spring District office in Bellevue, ...

Meta cuts hundreds of California jobs in pivot from metaverse to AI

Meta will lay off hundreds in California as it moves resources from the metaverse to AI, affecting major offices in ...
Unite.AI

Rebecca Qian, Co-Founder and CTO of Patronus AI – Interview Series

Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...
InfoQ

Tracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure

Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...
Medicine Buffalo

Engineering Science (Data Science) MS

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...
BMJ Open

Visual content and thematic analyses of images shared on social media before and after episodes of self-harm in a UK clinical youth sample

Objectives Little is known about how young people use social media during periods of self-harm. This study aimed to explore how they express themselves online through images posted on social media ...