In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too low, and profit margins suffer. Traditional pricing approaches typically ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

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In a breakthrough that redefines both speed and clinical potential, a new world record for the fastest human whole genome sequencing has been set. Think of all the things that can be done in four ...

New to N.I.N.A.? In this beginner-friendly tutorial, I walk you through setting up your first sequence from scratch using the powerful N.I.N.A. sequencer. Perfect for automating your imaging session ...

The Next Generation Sequencing (NGS) field has been in constant flux since a wave of newcomers entered the field several years ago that changed the game. The startups offered sequencing users new ...