From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

An analysis of recent guidance and emerging best practices on counsel’s ethical duty to be technologically proficient, with a focus on counsel’s obligations in the context of e-discovery and ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Abstract: Automated model generation (AMG) algorithms have become popular techniques for the systematic development of artificial neural network (ANN) models for microwave components. However, ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

This isn't really an issue (discussions are disabled) and it isn't exactly related to the Device model group, but since you, the Smart Data Model maintainers, have a lot of experience with JSON-LD and ...