AI coding genuinely speeds up a new build and quietly taxes everything after it: review, maintenance, and security. Here is what to do about it, then the research that backs it. Read more ›
Becky Stern hacked an open source SpikerBot, using a mirror and a spiking neural network to save the robot from tabletop tumbles. Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Researchers from University of California, Riverside and Futurewei published a technical paper titled “LLM4RTL: Tool-Assisted LLM for RTL Generation.” Abstract: “Large language models (LLMs) have facilitated impressive progress in software engineering, code generation, tooling, and systems. Concurrently, a significant body of research has developed which explores a growing variety of methods and systems for applying... The post appeared first on . Read more ›
Algorithms in Python— Recommender Systems, Part 1 Read more ›
Bridges between graph neural networks (GNNs) and logical formalisms have been established by fixing architectural choices, such as the types of aggregation, combination, and activation functions. These choices define restricted classes of GNNs for which tight correspondences with logical formalisms can be obtained, by showing that logical formulae can be translated into equivalent GNNs and, conversely, that GNNs can be translated into equivalent... Read more ›
In this tutorial, you'll learn data analysis with Python by following a structured workflow with pandas, Matplotlib, and scikit-learn. Read more ›
Understanding Multi-Head Attention in Transformers Read more ›
A hands-on walkthrough of building, training, and evaluating a Convolutional Neural Network (CNN) on the Fashion-MNIST dataset using… Read more ›
TensorFlow Image Classification at Scale Read more ›
Why Are Top Companies Quietly Hiring Agentic AI Engineers? Read more ›
GRASS - free and open-source geospatial processing engineGRASS Repository Description You can use GRASS as your desktop Geographic Information System (GIS) or as a geoprocessing engine through command-line, Python or R interface. GRASS is open-source and free software, available under the , and hosted by the Open Source Geospatial Foundation (GRASS uses a and is fiscally sponsored by to help the project pay for developer time, professional services, travel, workshops, and a variety of other n... Read more ›
Diffusion models have demonstrated superior fidelity for medical image-to-image translation, but their extension to high-resolution 3D volumes is severely constrained by prohibitive computational cost and GPU memory requirements. Existing memory-efficient strategies often compromise global volumetric consistency or fine anatomical detail. In this work, we propose the Pixel Puzzling Diffusion Model (PPDM), a simple and effective framework for mem... Read more ›
For the past few years, the most visible corner of the AI market has been easy to caricature: OpenAI gets the consumer attention, Anthropic gets the developer love, Google gets the benefit of the doubt with increasingly capable models and a complementary product suite, and everyone else gets to explain why they’re not dead yet. That’s unfair, of course, but not completely wrong. In AI, attention compounds and it’s leading to outsized revenue, with both So it’s easy to underrate Mistral AI. Ho... Read more ›
Tags: Transformer · TabTransformer · FT-Transformer · XGBoost · LSTM · Fraud Detection · Python · Imbalanced Data Read more ›
This paper proposes a hybrid reinforcement learning–assisted distributionally robust optimization (RL–DRO) framework for robust and economically efficient energy management in interconnected multi-microgrid systems under renewable, demand, and price uncertainty. The framework integrates deep reinforcement learning to generate adaptive scheduling policies with a Wasserstein-metric distributionally robust optimization formulation that enhances robustness against probability distribution shifts ... Read more ›
Learn key machine learning concepts like overfitting, gradient descent, and transfer learning through familiar characters and scenes from… Read more ›
Indexes your whole repo locally and ranks the worst code, so AI coding agents fix it instead of adding slop. Offline, on your machine — pairs with any model, including local LLMs like Qwen. Read more ›
Use one unified API to access OpenAI, Claude, GLM, MiniMax and other LLMs. Compare models, prices, and capabilities to find the best fit for your prompts. Read more ›
In this article, we propose a new deep learning approach to approximate operators related to parametric partial differential equations (PDEs). In particular, we introduce a new strategy to design specific artificial neural network (ANN) architectures in conjunction with specific ANN initialization schemes which are tailor-made for the particular approximation problem under consideration. In the proposed approach, we combine efficient classical numerical approximation techniques with deep oper... Read more ›