February 2026

Reverse Engineering Google Photos: FaceNet, Triplet Loss, and Why Softmax is RIP

Reverse Engineering Google Photos: FaceNet, Triplet Loss, and Why Softmax is RIP

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How Google Photos Knows Who You Are (It’s Not Magic, It’s Just Really Good Math) Hi, I’m Keerthana😃. Real talk: my camera roll is flooded. I have abt 20k images, and half of them are blurry selfies. Yet, somehow, Google Photos instantly groups every single picture of my face into one neat little folder. It feels like magic. But as a ML nerd, I got excited about backend architecture. And woah, it was actually just some v elegant linear algebra. Lets […]

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Machine-learning force-field models for dynamical simulations of metallic magnets

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We review recent advances in machine learning (ML) force-field methods for Landau-Lifshitz-Gilbert (LLG) simulations of itinerant electron magnets, focusing on scalability and transferability. Built on the principle of locality, a deep neural network model is developed to efficiently and accurately predict the electron-mediated forces governing spin dynamics. Symmetry-aware descriptors constructed through a group-theoretical approach ensure rigorous incorporation of both lattice and spin-rotation symmetries. The framework is demonstrated using the prototypical s-d exchange model widely employed in spintronics. ML-enabled […]

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Meet the Contest Winner: Fintech Architect Sibasis Padhi on Building Resilient Financial Systems

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Welcome to Meet the Contest Winner—a HackerNoon interview series celebrating the writers behind our most memorable contest entries. Let’s get started! Tell us who you are and why you decided to participate in the HackerNoon Writing Contest in the first place. Hi, I’m Sibasis Padhi, an expert in Agentic AI microservices and cloud performance optimization for financial systems. I joined the HackerNoon writing contest as a personal experiment, not just to publish, but to share real infrastructure-level lessons […]

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When Family Wealth Becomes a Prison

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:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter X: Dead Men’s Shoes Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 (of 3) – Chapter X Dead Men’s Shoes By J. H. Riddell ::: There are some persons, living in agreeable town or country […]

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Microsoft deletes blog telling users to train AI on pirated Harry Potter books

Microsoft deletes blog telling users to train AI on pirated Harry Potter books

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Following backlash in a Hacker News thread, Microsoft deleted a blog post that critics said encouraged developers to pirate Harry Potter books to train AI models that could then be used to create AI slop. The blog, which is archived here, was written in November 2024 by a senior product manager, Pooja Kamath. According to her LinkedIn, Kamath has been at Microsoft for more than a decade and remains with the company. In 2024, Microsoft tapped her to […]

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Rocket Report: Chinese launch firm raises big money; Falcon 9 back to the Bahamas

Rocket Report: Chinese launch firm raises big money; Falcon 9 back to the Bahamas

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Welcome to Edition 8.30 of the Rocket Report! As I write this week’s edition, NASA’s Space Launch System rocket is undergoing a second countdown rehearsal at Kennedy Space Center, Florida. The outcome of the test will determine whether NASA has a shot at launching the Artemis II mission around the Moon next month, or if the launch will be delayed until April or later. The finicky fueling line for the rocket’s core stage is the center of attention […]

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Various stages in designing a learning system in machine learning

Various stages in designing a learning system in machine learning

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Machine learning powers many tools we use every day, from recommending products on shopping sites to detecting fraud in bank transactions.   Designing a learning system in machine learning involves creating a structured setup where computers learn patterns from data and improve their performance on specific tasks over time. This process requires careful planning to make sure the system works well in practical situations.  This blog explains designing a learning system in machine learning in detail, covering steps in designing a […]

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A Life of Luxury Cannot Heal a Yearning Soul

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:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter IX: Advances the Story but little Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 (of 3) – Chapter IX Advances the Story but little By J. H. Riddell ::: Mr. John Merapie never got any […]

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Learning Long-Range Dependencies with Temporal Predictive Coding

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Predictive Coding (PC) is a biologically-inspired learning framework characterised by local, parallelisable operations, properties that enable energy-efficient implementation on neuromorphic hardware. Despite this, extending PC effectively to recurrent neural networks (RNNs) has been challenging, particularly for tasks involving long-range temporal dependencies. Backpropagation Through Time (BPTT) remains the dominant method for training RNNs, but its non-local computation, lack of spatial parallelism, and requirement to store extensive activation histories results in significant energy consumption. This work introduces a novel method […]

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RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis

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Histopathology, the current gold standard for cancer diagnosis, involves the manual examination of tissue samples after chemical staining, a time-consuming process requiring expert analysis. Raman spectroscopy is an alternative, stain-free method of extracting information from samples. Using nnU-Net, we trained a segmentation model on a novel dataset of spatial Raman spectra aligned with tumour annotations, achieving a mean foreground Dice score of 80.9%, surpassing previous work. Furthermore, we propose a novel, interpretable, prototype-based architecture called RamanSeg. RamanSeg classifies […]

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