edge computing

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New partnership to offer smart robots for dangerous environments

ai, AI (Artificial Intelligence), Artificial Intelligence, automated systems, edge ai, edge computing, iiot, Manufacturing & Engineering AI, physical ai, Robotics

ADLINK Technology has signed a strategic alliance and joint development agreement with Under Control Robotics, the company behind the robotics startup Noble Machines. The two firms will combine ADLINK’s edge AI platforms with Noble Machines’ autonomy software to create a new generation of general-purpose robots for modern manufactories and engineering plants. The work focuses on […]

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How physical AI integration accelerates vehicle innovation

ai, AI (Artificial Intelligence), AI Hardware & Chips, AI in Action, Artificial Intelligence, autonomous cars, Computer vision, edge computing, Features, How It Works, Inside AI, mobility, physical ai, qualcomm, Robotics, transport, wayve

The integration of physical AI into vehicles remains a primary objective for automakers looking to accelerate innovation. A technical collaboration between Qualcomm and Wayve offers a framework for how hardware and software providers can consolidate their efforts to supply production-ready advanced driver assistance systems to manufacturers worldwide. The partnership combines Wayve’s AI driving layer with

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Edge Agents vs. Cloud Agents: Why the Wrong Choice Can Kill AI Performance

agentic ai, ai, AI (Artificial Intelligence), AI 2025 trends, AI Agents, AI latency, AI orchestration, AI scalability, Artificial Intelligence, autonomous systems, Cloud agents, cloud AI agents, cloud vs edge, digital transformation, edge ai, edge computing, Enterprise AI Strategy, hybrid AI architecture, On-Device AI, Spritle Blog, SpritleSoftware, Vision AI

Artificial Intelligence is no longer confined to massive servers or centralized clouds. As we move deeper into 2025, AI has become distributed, autonomous, and embedded in every layer of digital infrastructure. But with this shift comes a new strategic question for every engineering and business leader: Where should your AI agent actually live — on

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