digitado

We develop and analyze explainable machine learning (ML) models for sepsis outcome prediction using a novel Electronic Health Record (EHR) dataset from 12,286 hospitalizations at a large emergency hospital in Romania. The dataset includes demographics, International Classification of Diseases (ICD-10) diagnostics, and 600 types of laboratory tests. This study aims to identify clinically strong predictors while achieving state-of-the-art results across three classification tasks: (1)deceased vs. discharged, (2)deceased vs. recovered, and (3)recovered vs. ameliorated. We trained five ML models […]

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Most “secure” messengers today still rely on centralized infrastructure. Whether it’s for signaling, metadata storage, or push notifications, there is almost always a server sitting between you and your recipient. With Aether, I wanted to take a different route. The goal was to build a strictly local-first software architecture. If two devices are on the same network, they should be able to discover each other and communicate directly—no cloud, no central databases, and no intermediary nodes. Here is […]

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This paper introduces Anticipatory Reinforcement Learning (ARL), a novel framework designed to bridge the gap between non-Markovian decision processes and classical reinforcement learning architectures, specifically under the constraint of a single observed trajectory. In environments characterised by jump-diffusions and structural breaks, traditional state-based methods often fail to capture the essential path-dependent geometry required for accurate foresight. We resolve this by lifting the state space into a signature-augmented manifold, where the history of the process is embedded as a […]

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Adding AI to microservices breaks the assumption that same input produces same output, causing unpredictability, debugging headaches, and unreliable systems. To safely integrate AI, validate outputs, version prompts, use a control layer, and implement rule-based fallbacks. Never let AI decide alone—treat it as advisory, not authoritative.

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Microfrontends usage is becoming popular nowadays. Teams goal to make applications work faster, and then move from a monolith architecture. Everything is simple – they expect smaller bundles, independent releases, and faster delivery. And transition usually gives that. But the transition to microfrontends involves optimizations: it is necessary to identify what will be separated out, get rid of dependencies and understand how communication with the monolith will be implemented. It’s a real volume of tasks, and small issues, […]

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Scaling from $50 to $10,000 a day should feel like pressing a magic button. It should create a system that keeps running without breaking. After reviewing over 100 ad accounts, I have learned that most media buyers don’t fail because their ads are bad. But they fail because they don’t have a clear map for the tricky points in scaling. So, if you feel stuck, here’s the exact step-by-step plan I use to reach $10k/day safely. The Deadliest […]

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For decades, sportsbooks have been operating with a flawed model, of being the counterparty to the customers prediction, causing frustration that the house always wins. PRED is building something structurally different. As a peer-to-peer sports prediction exchange on Base blockchain, it takes no position against users, bans no winners, and generates revenue purely through trading fees. We sat down with Amit Mahensaria, CEO and co-founder of PRED, a former investment banker, and ex co-founder of Impartus (acquired by […]

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