October 19, 2026

Hiroshi Tanaka

Hiroshi Tanaka
Hiroshi holds a B.Eng. in Information Engineering from the University of Tokyo and an M.S. in Interactive Media from NYU. He began prototyping AR for museums, crafting interactions that respected both artifacts and visitors. Later he led enterprise VR training projects, partnering with ergonomics teams to reduce fatigue and measure learning outcomes beyond “completion.” He writes about spatial computing’s human factors, gesture design that scales, and realistic metrics for immersive training. Hiroshi contributes to open-source scene authoring tools, advises teams on onboarding users to 3D interfaces, and speaks about comfort and presence. Offscreen, he practices shodō, explores cafés with a tiny sketchbook, and rides a folding bike that sparks conversations at crosswalks.
    Cybersecurity

    Recognising Scam Patterns: A Field Guide for Non-Technical Users

    Scams are recognizable by their patterns, not by the specific story they tell. Learn to spot manufactured urgency, mismatched sender details, requests to

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    Urban Robots

    Retail Robots: Inventory Scanning and Shelf Analytics

    Retail inventory robots now scan entire stores in under an hour and catch out-of-stocks humans miss. Autonomous shelf-scanning robots from vendors like Simbe

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    Robotics Governance

    Choosing Sensors for Autonomy: LiDAR, Radar, and Camera Trade-offs

    LiDAR, radar, and cameras each solve a different piece of the perception problem, and no single sensor wins outright. LiDAR delivers precise 3D

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    Vibe Coding

    Technical Debt From AI-Generated Code: Measuring and Repaying It

    AI-generated code accumulates technical debt faster and differently than hand-written code. Duplication across generated modules, inconsistent patterns, and dependency bloat compound quietly; measuring

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    Leadership Role

    Redesigning Workflows for AI: Process Mining Before Automation

    Process mining before automation prevents you from making a broken workflow faster. It maps how work actually happens across systems, exposes rework loops

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    Generative AI

    Generative Interfaces: UI That Assembles Itself Per User

    Generative UI is an approach where an AI system builds the actual structure of an interface at runtime, rather than filling a pre-designed

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    AI Ethics

    Building an AI Governance Committee: Roles, Cadence, and Artifacts

    An AI governance committee only works when it has defined roles, a real cadence, and artifacts to show for its meetings. Most mature

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    AI Infrastructure

    Chip Export Controls: How Trade Policy Reshapes the AI Supply Chain

    NVIDIA’s share of the Chinese AI chip market fell from over 90% to roughly 50% by early 2026, as US export policy shifted

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    Agentic AI

    Tool Use Reliability: Why Agents Fail at APIs and How to Fix It

    Most agent tool failures are selection and argument errors, not API errors. The five failure modes ranked by frequency, why tool descriptions are

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    Scaling Inference

    Quantization Explained: INT8, INT4, and What You Actually Lose

    Quantization trades precision for memory, and the loss is never evenly distributed. What INT8 and INT4 actually cost, why outlier features break naive

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    Uncategorized

    Robotics in the Fashion Industry: Automated Sewing and Sorting

    The fashion industry, long reliant on intensive manual labor and complex global supply chains, is currently undergoing a seismic shift. As of March

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    Humanoid

    Why Humanoid is the Preferred Form Factor for 2026

    The landscape of robotics has undergone a seismic shift. As of March 2026, the debate over whether robots should have wheels, tracks, or

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    Circular Economy

    Robots in the Circular Economy: Automated Sorting and Recycling

    The global waste crisis is no longer a distant threat; it is an immediate operational and environmental challenge. As of March 2026, the

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    Agentic Content Curation

    Agentic Content Curation: Fighting the Surge of Synthetic Slop

    As of March 2026, the digital landscape has reached a tipping point. The “Dead Internet Theory” once felt like a creepypasta fringe concept,

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    AI

    Agentic Governance: Building Guardrails for AI Autonomy

    The transition from passive AI chatbots to active AI agents marks the most significant shift in technology since the dawn of the internet.

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