How to Reduce #AI Model Costs with Self-Supervised Learning by @antgrasso #ArtificialIntelligence #MachineLearning #ML
@ronald_vanloon
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Modernization: now an integral part of AI strategy
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Companies running AI at scale have made a strategic shift: They have stopped treating modernization as an IT project. They have started to view it as an integral part of the AI strategy. Examples: →
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Easy AI demos, hard production: weaknesses exposed
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Here is the uncomfortable reality I observe in companies: AI demos are easy. AI in production is not. Once AI moves past the pilot stage, it begins to expose every weakness in the foundation: → Fragmented systems
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AI pilots fail mainly because of the company, not the model
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Most AI pilots do not fail because the model is weak.
— Ronald van Loon (@Ronald_vanLoon) 4 juin 2026
They fail because the enterprise underneath it was never built for production AI.
→ Data volume
→ Latency
→ Deployment cycles
→ Legacy dependencies
→ Technical debt
This is the infrastructure problem nobody is… pic.twitter.com/pVbkLn2f1uMost AI pilots do not fail because the model is weak. They fail because the underlying company was never designed for production AI. → Data volume
→ Latency
→ Deployment cycles
→ Legacy dependencies
→ Technical debt It's -
Photon-driven synapse boosts low-power neuromorphic systems
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Photon-driven synapse advances low-power neuromorphic systems
by SPIE @TechXplore_com Learn more: https://
bit.ly/4vj71Ov #EmergingTech #FutureTech #Innovation -
AI Performance as a System-Level Challenge: Optimizing Chips and Software
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The enterprise takeaway is simple: AI performance is now a system-level challenge. The winners will optimize chips, memory, interconnects, software, and architecture together. Less latency means faster intelligence.
Less movement means lower cost.
Less waste means AI that can -
AI’s next bottleneck: time, not compute
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AI’s next bottleneck is not just compute. It is time. Time lost moving data.
Time lost coordinating chips.
Time lost waiting on memory, interconnects, and software layers to catch up. That shift changes how we should think about AI infrastructure. A thread… #HuaweiPartner -
AI-Powered SecurOS UVSS Detects Explosives Under Vehicles in 3 Seconds
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#AI-Powered SecurOS UVSS Detects Explosives Under Vehicles in Just 3 Seconds
— Ronald van Loon (@Ronald_vanLoon) 30 mai 2026
by @_fluxfeeds
#EmergingTech #Technology #Innovation pic.twitter.com/PaozjezgLE#AI-Powered SecurOS UVSS Detects Explosives Under Vehicles in Just 3 Seconds
by @_fluxfeeds #EmergingTech #Technology #Innovation -
Too dangerous to release: Mythos sparks restricted AI era debate
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Too dangerous to release: is Mythos the start of the restricted-#AI era?
by Chris Stokel-Walker @Nature Learn more: https://
bit.ly/3RN4zRM #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
How Generative AI persuasion bombs users and how to fight back
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How #GenerativeAI ‘persuasion bombs’ users — and how to fight back
by Dylan Walsh @MITSloan Learn more: https://
bit.ly/4cDhCNN #ArtificialIntelligence #ML #MachineLearning #Tech