Abstract: This paper tackles the consensus tracking control challenge for a category of uncertain nonlinear multi-agent systems subject to unknown time-varying disturbances and output constraints.
At CES 2026, Lgenie officially launched its innovative industrial-grade intelligent agent production line, aiming to redefine industry standards for scalable AI development. To comprehensively ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
The Singapore-based AI clinical trial engine powering Asia’s—especially China’s—rapid rise in the biotech industry. Deep ...
New regulations make this non-negotiable, but multi-die assemblies and more interactions at the edge are creating some huge ...
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Edgen launches the first “Always-On” AI CIO, marking the end of the chatbot era for retail investors
Edgen is the first personalized AI platform designed to act as a Chief Investment Officer for the everyday investor. By ...
Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.
Set up AutoClaude with Python 3.12+, Git, and an API key, then run long autonomous sessions that free your time and reduce ...
Overview AI agents are rapidly transforming how businesses automate workflows, manage data, and interact with users. From ...
PubMatic, the leading AI-powered ad tech company delivering digital advertising performance, announced the launch of PubMatic ...
VAST AI Operating System running natively on NVIDIA BlueField-4 DPUs collapses legacy storage tiers to deliver shared, ...
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