Abstract: Fine timing measurement (FTM) is a feature of the IEEE 802.11 standard that enables indoor positioning. Given the high availability of Wi-Fi devices and the increasing accuracy of ...

TurboQuant PyTorch — Implementation + Deep Tutorial A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value ...

I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. I lead an ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

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 ...

Help us create the next version of Optuna! Optuna 5.0 Roadmap published for review. Please take a look at the planned improvements to Optuna, and share your feedback in the github issues. PR ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...