Sure, let your AI agents propose changes to image definitions, playbooks, or other artifacts. But never let them loose on production systems.

Why do AI hallucinations occur in finance and crypto? Learn how market volatility, data fragmentation, and probabilistic modeling increase the risk of misleading AI insights.

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

AI security risks are shifting from models to workflows after malicious extensions stole chat data from 900,000 users & ...

LLM outputs are unreliable because context is polluted. 30-40% of context assembled from multiple sources is semantically redundant. Same information from docs, code, memory, and tools competing for ...

Background: Large language models (LLMs) show promise for clinical decision support but often deviate from evidence-based protocols, raising safety and regulatory concerns. Anemia management in ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

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 ...

ABSTRACT: This study presents a deterministic model to examine how information affects the spread of Typhoid Fever. The model’s properties, including its stability and basic reproduction number, are ...