AI

In this tutorial, we build a complete pipeline for single-cell RNA sequencing using Scanpy. We start by installing the necessary libraries and loading the PBMC 3k dataset, then perform quality control, sorting, and normalization to prepare the data for upstream analysis. We then identified the most mutated genes, performed dimensionality reduction PCA, and constructed a … Read more

Andrej Karpathy has been released autoresearchis a small Python tool designed to enable AI agents to automate machine learning experiments. The project is a stripped down version of nanochat The LLM training content, reduced to a single file archive of approximately ~630 lines of code. Prepared for use in a One NVIDIA GPU. Autonomous Iteration … Read more

At first glance, adding more features to the model seems like an obvious way to improve performance. If the model can learn from more information, it should be able to make better predictions. However, in practice, this natural environment often presents subtle structural hazards. Every added feature creates additional dependencies on upstream data pipelines, external … Read more

Ever wanted to look for a faster version of Python without slowing down your workflow? Tools like MyPy can catch type errors, but they often feel slow or disconnected from the programmer’s experience. This is where Pyright comes in. Pyright is a Python standards-based static type checker designed for speed and fast response. It works … Read more

In this tutorial, we build a complete mental blueprint and framework for a runtime agent. We describe systematic plans for ownership, goals, planning, memory, validation, and access to tools, and use them to create agents that not only respond but also plan, implement, verify, and systematically improve their results. Along the tutorial, we show how … Read more

What if the AI ​​industry is preparing for a goal that cannot be clearly defined or reliably measured? That’s the main argument of a new paper by Yann LeCun, and his team, that Artificial General Intelligence has become an overused term used inconsistently across academia and industry. The research team argued that because AGI does … Read more

Let’s say there is a smart computer in your cell phone. It responds quickly, knows your language, and works perfectly even offline. This AI will keep your information private on your device. There is no additional charge per question. Such is the future Sarvam Edge creates in India. Sarvam Edge is a form of AI … Read more

Google has officially released TensorFlow 2.21. The most important update in this release is LiteRT’s graduation from its preview stage to a fully production-ready stack. Moving forward, LiteRT serves as a complete instruction framework for the device, officially replacing TensorFlow Lite (TFLite). This update streamlines the deployment of machine learning models to mobile and edge … Read more

Microsoft has released it Phi-4-consultation-opinion-15Ba 15 billion parameter multimodal reasoning model with open weights designed for graphic and text tasks that require both comprehension and selective thinking. It is an integrated model designed to measure the quality of the inference, to calculate the efficiency, and the requirements of the training data, with some power scientific … Read more

In this tutorial, we use the production range, a large graph analysis pipeline NetworkKitfocused on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We create a large-scale free network, extract the large connected component, and combine the core signals of the structure with k-core decomposition and the average area level. We also find communities … Read more