PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

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 ...

This repository provides a comprehensive benchmark comparison of Variational Autoencoder (VAE) implementations for time series anomaly detection. The benchmark evaluates performance across multiple ...

Display, design, connectivity, cost, and more: Here's all you need to know to land the best MacBook for your daily computing and commuting, now factoring in the MacBook Pro with the M5 processor. The ...

In the battle to improve the capabilities of artificial intelligence, Google and OpenAI have both released new versions of their flagship chatbots: Gemini 3 and GPT-5.1. Google calls Gemini 3 its ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Crafting a compelling AI talent profile is more than a checkbox for job seekers; it's a tool that can open doors. In a highly competitive field, your online presence must reflect both technical depth ...