NumPy 2.5, released on June 21, 2026, features a significant speedup for np.searchsorted(). searchsorted() is a function used ...

Earlier this year Intel announced the "Optimization Zone" as their new initiative to provide a centralized place to collect ...

The whole supply chain of the world is basically suboptimal because we don't have the computing to run large-scale, efficient ...

Recently I was provided remote access to a NVIDIA Vera server with the dual socket Vera CPU Superchip providing 176 Olympus ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...

Open-source models are closing in on GPT-5-class performance, but not everywhere. See where they win, where they lag, and how to route tasks smartly.

Stop burning your budget on AB testing. I will explain the full scope of a hyper-practical architecture that combines pre-simulation using LLM personas with mathematical optimization to maximize ad ...

In this tutorial, we explore skfolio, a scikit-learn compatible portfolio optimization library that helps us build, compare, and evaluate different investment strategies in a structured Python ...

At Uber, we train massive deep learning models to power our marketplace and core services. As these models grow in complexity, the infrastructure required to train them becomes a significant cost and ...

Registration is open for the RCS Spring 2026 Tutorials. Please also be aware that we have lots of recordings and slides available from past tutorials by RCS staff and vendors. For hands-on sessions ...