If you’ve ever built a computer vision pipeline, you know the frustration. Object detection models are often rigidly trained on fixed… 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 ›
This study proposes a domain-specific LLM-based Visual Explanation Evaluation Framework for assessing Grad-CAM explanations in facial skin disease diagnosis models. While previous studies have primarily focused on improving classification performance through data augmentation techniques, relatively few studies have systematically examined whether model explanations are grounded in clinically relevant lesion regions. In this study, geometric augm... Read more ›
This is Day 7 of building a neural network from scratch. Yesterday we ran a whole neural network by hand and got a tidy answer: a 57%… Read more ›
Bendix and Aeva bring 4D LiDAR to Class 8 collision mitigation via Fusion ADAS. Collaboration targets L2+ driver assistance in mass production for fleets The post appeared first on <a href=" Read more ›
Probably the biggest change for Python over the last five years or so is the advent of the "free-threaded" version of the language, which removes the global interpreter lock (GIL) and allows multiple threads to run in parallel in the interpreter. At , held in Long Beach, California in mid-May, longtime CPython core developer (and current steering council member) Thomas Wouters gave a talk about the feature. He looked at the motivation behind the GIL-removal efforts, some history, the current ... Read more ›
Without immigrants, the American economy would collapse. It’s not just the scientists, doctors, entrepreneurs and risk-takers, but it’s also the immigrant labourers, nurses, healthcare aides, const… Read more ›
GPT-2-style LLM built from scratch in C/CUDA with hand-written backprop, BPE tokenizer, FlashAttention, pretraining, and SFT. - JustVugg/nanoeuler Read more ›
A/B testing is often called the gold standard of causal inference. Read more ›
RNAs are important therapeutic targets, however identifying ligandable small-molecule binding pockets remains a major barrier to RNA-targeted drug discovery. Here, SMARTPocket, an atomic-level geometric deep learning framework for predicting RNA-small molecule binding pockets directly from three-dimensional structure is introduced. SMARTPocket represents RNA as full-atom point clouds and uses transfer learning from more than 110,000 protein binding interface structures to overcome the limited... Read more ›
LiDAR place recognition determines one's position on a prior point cloud map. The most studied ground-level LiDAR place recognition suffers from pre-visit requirements, incomplete coverage, and limited perspectives. Using pre-acquired, full-coverage Airborne Laser Scanning (ALS) data as an aerial prior map overcomes these drawbacks, making cross-view place recognition necessary and advantageous. However, aerial-ground LiDAR place recognition fac... Read more ›
Most students already know that ChatGPT can draft text, answer questions, and save time. The harder problem is learning how to ask better questions, test outputs, and use AI without trusting every answer. Demand is real: one UK government report cited in training market data found that 42% of workers lacked AI literacy skills. That... The post appeared first on . Read more ›
Extreme urban heat poses a growing threat to global health, yet a critical cooling intervention-reflective cool roofs-lacks the high-resolution data needed for building-level planning. While satellite-based albedo estimates are globally available, their coarse resolution cannot resolve individual rooftops, limiting targeted climate action. Here we show that fusing freely available 10-m Sentinel-2 imagery with high-resolution satellite data enables urban albedo mapping at 30-cm resolution. Thi... Read more ›
<a href=" [frontend/localization] Advanced search placeholders shouldn't be localized <a href=" [frontend/localization] Add all remaining localizations <a href=" [frontend/localization] Add localization for follow requests and search <a href=" [frontend/localization] Add localization for profile, timeline and note pages <a href=" [frontend/localization] Add localization for auth and other misc pages Read more ›
this week I was studying a really interesting paper called Swin Transformer, from Microsoft Research Asia. Read more ›
Quantum computing is buried under hype, but the basics are concrete: a qubit is a vector, a gate is a matrix, and you can simulate small quantum circuits in plain Python with NumPy. You do not need a quantum computer to understand how one works. A qubit is a vector A classical bit is 0 or 1. A qubit is a combination of both, written as a 2-element vector of amplitudes: import numpy as np zero = np.array([1, 0]) # |0> one = np.array([0, 1]) # |1> # a superposition: equal parts |0> and |1> plus... Read more ›
Tool for exploring & filtering one author's Large Language Models (LLMs) on HuggingFace. Features quick search & custom sorting. - NetroScript/huggingface-llm-filtering Read more ›
Learn key machine learning concepts like overfitting, gradient descent, and transfer learning through familiar characters and scenes from… Read more ›
Information about causes, symptoms, diagnosis, and treatment of Pediatric Acute-onset Neuropsychiatric Syndrome and Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections. Read more ›
A PyTorch DDP job can be slow without looking broken. No crash. No OOM. All GPUs are doing something. The training loop just takes longer… Read more ›