Strategies to optimize work and improve efficiency. Addressing the challenges of managing distributed project teams in megaprojects requires a targeted set of strategies that integrate technological ...
Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...
Abstract: A new robust motion tracking control design framework for uncertain synchronous motors based on differential flatness, artificial neural networks, sliding modes and swarm intelligence, is ...
AI agents didn’t fail in 2025 — the plumbing did. Fixing it in 2026 means smarter logs, async workflows and richer data ...
MemryX has now signed an agreement with a next-generation 3D memory partner to execute a dedicated 2026 test chip program, validating a targeted 5um-class hybrid-bonded interface and direct-to-tile ...
Abstract: This publication reviews asynchronous radiolocation methods, emphasizing their analytical descriptions. Radiolocation systems evolve through the integration of advancements from multiple ...
The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.
The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.
Asynchronous report generation has also been implemented: documents are generated in the background, allowing users to continue working in the system without waiting for data processing to be ...
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