March 2026

:::info Astounding Stories of Super-Science October 2022, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE MURDER OF ROGER ACKROYD – THE PARAGRAPH IN THE PAPER Astounding Stories of Super-Science October 2022: THE MURDER OF ROGER ACKROYD – THE PARAGRAPH IN THE PAPER By Agatha Christie ::: Caroline, of course, had not failed to see Miss Russell come to the surgery door. I had anticipated this, […]

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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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