digitado

Let’s start with the basics. Cryptocurrency mining is the process where computers compete and “work” to solve mathematical puzzles in order to add new transactions to a distributed ledger. In return for helping secure the network and confirm payments, miners earn newly created coins and transaction fees. The mechanism behind this is called Proof-of-Work (PoW), and many coins use it, including very popular ones like Bitcoin, Monero, and Litecoin. We would say anyone can be a miner, but […]

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Livestock growth prediction is essential for optimising farm management and improving the efficiency and sustainability of livestock production, yet it remains underexplored due to limited large-scale datasets and privacy concerns surrounding farm-level data. Existing biophysical models rely on fixed formulations, while most machine learning approaches are trained on small, isolated datasets, limiting their robustness and generalisability. To address these challenges, we propose LivestockFL, the first federated learning framework specifically designed for livestock growth prediction. LivestockFL enables collaborative model […]

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Livestock growth prediction is essential for optimising farm management and improving the efficiency and sustainability of livestock production, yet it remains underexplored due to limited large-scale datasets and privacy concerns surrounding farm-level data. Existing biophysical models rely on fixed formulations, while most machine learning approaches are trained on small, isolated datasets, limiting their robustness and generalisability. To address these challenges, we propose LivestockFL, the first federated learning framework specifically designed for livestock growth prediction. LivestockFL enables collaborative model […]

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Training reinforcement learning (RL) agents to control fluid dynamics systems is computationally expensive due to the high cost of direct numerical simulations (DNS) of the governing equations. Surrogate models offer a promising alternative by approximating the dynamics at a fraction of the computational cost, but their feasibility as training environments for RL is limited by distribution shifts, as policies induce state distributions not covered by the surrogate training data. In this work, we investigate the use of Linear […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Best Medical Speech Recognition Software and APIs in 2026 By @assemblyai [ 11 Min read ] Compare the best medical speech recognition tools in 2026—APIs and software that cut documentation time, reduce burnout, and improve workflows. Read More. How to Break Your PostgreSQL […]

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Deep learning (DL) models have achieved strong performance in an intelligence healthcare setting, yet most existing approaches operate as black boxes and ignore the physical processes that govern tumor growth, limiting interpretability, robustness, and clinical trust. To address this limitation, we propose PhysNet, a physics-embedded DL framework that integrates tumor growth dynamics directly into the feature learning process of a convolutional neural network (CNN). Unlike conventional physics-informed methods that impose physical constraints only at the output level, PhysNet […]

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Businesses have always had a level of uncertainty to contend with, but 2026 is looking to bring additional challenges that need to be prepared for. Although a lot of businesses already have risk management strategies in place, many are still struggling to deal with any unforeseen issues that arise. Over the next two years, 36% of organizations say they plan to increase their investment in risk management, but what exactly needs to be done to prepare for the […]

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If I see a Variable that doesn’t change. I call that variable a constant TL;DR: Be explicit on what mutates and what doesn’t. Problems Addressed 😔 Mutability Code Optimization Related Code Smells 💨 https://hackernoon.com/how-to-find-the-stinky-parts-of-your-code-part-xxxii?embedable=true https://hackernoon.com/how-to-find-the-stinky-parts-of-your-code-part-xxvi?embedable=true https://hackernoon.com/how-to-find-the-stinky-parts-of-your-code-part-xxiv?embedable=true Context 💬 Variables that never change their value are not really variables. They’re constants pretending to be mutable state. When we declare something as a variable, we tell the reader (and the compiler) to expect change. If that change never happens, we’re […]

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There’s a growing realization across the AI ecosystem that models are no longer the bottleneck. The real constraint is everything around them: data access, governance, orchestration, and the ability to turn outputs into actions. That’s where most enterprise AI projects stall, not because the model isn’t capable, but because it isn’t meaningfully connected to the business. Domo’s latest set of releases quietly tackles that problem head-on. Underneath the surface, what looks like an AI Agent Builder announcement is […]

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