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Why deploying AI at the industrial edge demands far more than an accurate model. A representative industrial lab deployment revealed a gap between model performance and platform re...
Modern enterprise applications are increasingly running AI inference on-device rather than sending data to a central cloud. Improvements in hardware and model optimization have shi...
For the past decade, cloud computing has been the undisputed backbone of artificial intelligence. Massive data centers packed with…Continue reading on Medium »
AI agents are moving beyond screens and servers into the physical world -- controlling robots, drones, factory equipment, and building systems. DefenseClaw now includes an Edge Con...
Edge computing has stopped being a niche networking conversation and is showing up in board-level infrastructure discussions
As edge AI chips surpass 900MHz, legacy hardware methods guarantee system failure. For designers, it’s adapt or go obsolete. With the hype around artificial intelligence (AI) reach...
The global edge AI market is expected to grow from $30 billion in 2026 to $118.7 billion in 2033, demonstrating its effect on how people’s devices and machines work. When it comes...
AI has moved from a talking point to a tool being used across private credit. But as larger firms grapple with compliance challenges, can it help smaller firms pull ahead of the co...
AI tools help microcontroller-based devices respond to events, make decisions, access documentation, and connect with smart home platforms. Espressif has introduced ESP-Claw, a fra...
The alliance is expanding its focus on AI RAN services while tackling workload placement, infrastructure sharing, and the commercial case for turning mobile networks into distribut...
From the newsletter (September 25; sign-up or follow if you want it sooner): Rakuten Mobile and T-Mobile offer tangible AI-RAN examples, embedding intelligence in network automatio...
As AI shifts from centralised training to distributed inference, network architecture is being redrawn around proximity, latency and resilience. Metro fiber, edge connectivity, and...
Computational overload is not a bug of a specific planner, but an edge AI wall limiting physical and embodied AI. The post The edge AI wall: Why embodied AI requires new mathematic...
How Capgemini and Intel are turning AI insight into reliable, real-world action.
Avalue Expands AI Computing Portfolio From data center infrastructure to intelligent edge applications Mark Hembree Thu, 10/15/2026 - 12:02 Off...
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Presenting the right subset of data to the right endpoints, especially in real time, means juggling an array of constraints
New industrial boards pair Intel 18A processors with integrated graphics and AI acceleration, bringing faster inference and demanding workloads closer to connected edge environment...
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With several recent announcements, Physical AI moves to the factory floor beyond humanoids and robotaxis
We may have spent two decades trying to solve the problem of internet access, only to be creating a new challenge: AI access. Only around 3% of US households currently pay for any...
A new compact edge computing platform brings AI acceleration, advanced visual processing and flexible connectivity to industrial systems, supporting smarter applications in space-c...
An artificial intelligence (AI) pioneer shares practical use cases and common missteps to help you get the most from technology now and as it evolves.
In the space of a month, a new category of AI model went from nonexistent to everywhere. TypeSafe AI released Jev on September 15 and called it a System One model, a nod to Kahnema...
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