Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

I am a hacker, engineer, product manager, and researcher on LLMs, AI/ML, and the ethics of applied machine learning. I am a hacker, engineer, product manager, and researcher on LLMs, AI/ML, and the ...

Abstract: Modern tensor applications, especially foundation models and generative AI applications require multiple input modalities (both vision and language), which increases the demand for flexible ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous ...

The Google Pixel 10 series is finally here with the all-new Tensor G5 chipset, promising significant upgrades over last year’s G4 chip. This is the biggest upgrade to Tensor chips and promises a ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Abstract: Recent advances in Large Language Models (LLMs), such as GPT and LLaMA, have demonstrated remarkable capabilities across a wide array of natural language processing tasks. Despite these ...