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NEO: How a Humanoid Robot Learns with AI to Help Humans
1. The Beginning of Home Humanoid Robots For many years, humanoid robots were mostly seen in science fiction, research labs, or technology exhibitions. They looked impressive, but they were not ready to live with ordinary people or help inside real homes. Today, that is beginning to change. One of the most talked-about examples is…
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Tools and Architectures for Controlling AI Agents
A Practical Guide to Privacy, Governance, and Safe Autonomy 1. Introduction As AI agents evolve from simple assistants into autonomous decision-makers, the challenge is no longer just capability, but control. Organizations need to ensure that agents act within defined boundaries, respect privacy, and remain auditable. This is especially critical in systems like decentralized platforms,…
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How Artificial Intelligence Can Threaten Human Security Through Raw Data Processing
And Why Local AI Is Becoming Critically Important Introduction Artificial Intelligence is increasingly powered not by curated knowledge, but by vast volumes of raw data. Logs, sensor outputs, biometric traces, communications, behavioral patterns, and environmental signals are continuously collected and processed at unprecedented scale. While this capability enables innovation, it also introduces a new…
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Secure Multi-Party Computation (MPC): Computing Without Revealing Data
In the digital economy, data collaboration is inevitable and dangerous. Governments, hospitals, banks, and platforms all need to compute over shared data, yet none of them can afford to expose raw inputs. Traditional security models force an impossible trade-off: either share the data or give up the computation. Secure Multi-Party Computation (MPC) exists precisely…