Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
The overall relationship between the attacker and the ego system. The black solid arrows indicate the direction of data flow, the red solid ones indicate the direction of gradient flow and the red ...
Very recently Microsoft quietly released it’s multi-agent AutoGen framework that enables the development of Language Learning Model (LLM) applications. These applications can converse with each other, ...
In the rapidly evolving landscape of enterprise AI, Multi-Agent Retrieval-Augmented Generation (MARS) systems are emerging as a cornerstone technology. These sophisticated systems, developed in ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify and showcase a new prompting ...
As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...
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