September 17, 2026

Luca Bianchi

Luca Bianchi
Luca earned a B.Sc. in Physics from Sapienza University of Rome and an M.Sc. in Quantum Information from ETH Zurich. He worked on error-mitigation techniques for NISQ devices before shifting into developer education for quantum SDKs—helping engineers bridge the gap between math and code. His writing shows how classical optimization and quantum circuits meet, with clear diagrams and realistic use cases. Luca speaks at conferences about the road to fault tolerance, maintains tutorials that don’t assume a PhD, and collaborates with open-source contributors on better docs. Away from qubits, he plays jazz piano, chases perfect espresso extractions, and treats museum afternoons as meditation.
    Edge Intelligence

    Edge AI Deployment: 12 Steps From Cloud Model to Embedded Device

    Moving a cloud-trained model onto embedded hardware is a defined pipeline, not a single export step: optimization techniques can shrink a cloud-scale model

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    AI Infrastructure

    GPU Shortage Economics: How Compute Scarcity Shapes AI Product Roadmaps

    The 2026 GPU shortage is structural, not cyclical — it’s memory, packaging, and power constraints compounding at once, with data-center GPU lead times

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    Scaling Inference

    Test-Time Compute Scaling: Buying Accuracy With Inference Budget

    You can spend more compute at inference instead of training a bigger model. Sampling, verification and search each buy accuracy differently, and all

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    Remote Telesurgery

    10G Networks in Remote Telesurgery: The Future of Global Healthcare

    Remote telesurgery—the ability of a surgeon to operate on a patient located hundreds or even thousands of miles away—has long been the “holy

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    Robotics as a Service

    Robotics as a Service (RaaS): Lowering the Barrier to Automation

    For decades, the word “robotics” conjured images of massive, multi-million dollar automotive assembly lines accessible only to the world’s largest corporations. However, as

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    Agentic AI

    Why Process Mining is the Essential Pre-requisite for Agentic AI

    As of March 2026, the global enterprise landscape has shifted from asking “What is AI?” to “How do we make AI act?” This

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    Agentic AI

    Agentic Procurement: How to Automate B2B Vendor Negotiations

    As of February 2026, the landscape of enterprise resource planning (ERP) and supply chain management has shifted from passive data analysis to active,

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    Culture

    Micro and Nano Influencers: Why Brands Shift From Celebrities

    The era of the “untouchable” celebrity endorser is fading. For decades, the formula for brand visibility was simple: pay a famous face millions

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    Culture

    The Impact of Regulation: How the EU Digital Services Act Transforms Social Platforms

    For over a decade, social media operated in a regulatory “Wild West.” Platforms grew at breakneck speeds, prioritizing engagement and scale over safety

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    Culture

    Gamification of social apps: streaks, badges and addiction

    We live in an era where checking a notification feels less like a choice and more like a reflex. You pick up your

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    Culture Digital Nomads

    Navigating Visas and Residency Permits Tailored to Remote Workers

    The era of the “gray zone” digital nomad—working secretly on a tourist visa while hoping border control doesn’t ask too many questions—is rapidly

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    Culture Tech Careers

    Reskilling for AI and Machine Learning Roles: A 2026 Guide

    The landscape of work is undergoing a seismic shift, driven largely by the rapid integration of Artificial Intelligence (AI) and Machine Learning (ML)

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    AI Robotics

    Humanoid robots as service staff in hospitality

    The hospitality industry is undergoing a paradigm shift. For decades, the “personal touch” in hotels, restaurants, and tourism was strictly the domain of

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    AI Generative AI

    Fashion design using generative models

    The fashion industry is currently undergoing a seismic shift driven by artificial intelligence. Generative design, once a niche concept reserved for experimental tech

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    AI

    AI Emotional Analytics in Customer Experience: The Future of Empathy at Scale

    In the traditional landscape of customer service, empathy was a strictly human trait—hard to scale, difficult to measure, and impossible to automate. A

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