Search Results for "low level"

The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification tasks. ...

Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++) and optimized for highly distributed computing environments. ...

...It also introduces the concept of fibers as data structures representing units of work that can be paused, resumed, or reused. The project is especially valuable for developers who want to understand React’s performance model and concurrency features at a low level.

This is showcase program, with source code and sample data included for fast peak detection algorithm. It is great tool for entry level, automated analisys, to discard empty and junk curves and save only ones matching required criteria. Assuming that only 1% of data is worth reviewing, and that manual selection takes approx. 3 seconds per curve, you can save up to 8 hours per every 10000 curves (like 2 days every week!). Force amplitude analisys for single curve takes from 1 to 4 milliseconds on low-end intel dual core. ...