arxiv.org/abs/2110.09665v1
Machine question answering is an essential yet challenging task in natural language processing. Recently, Pre-trained Contextual Embeddings (PCE) models like Bidirectional Encoder Representations from Transformers (BERT) and A Lite BERT (ALBERT) have...
en.wikipedia.org/wiki/Esentepe%2C_Ortak%C3%B6y
Esentepe is a village in the Ortaköy District of Çorum Province in Turkey. Its population is 37 (2021). Köy Archived 6 July 2015 at the Wayback Machine
en.wikipedia.org/wiki/Satansar%C4%B1%2C_Ortak%C3%B6y
Satansarı is a village in the Ortaköy District, Aksaray Province, Turkey. Its population is 385 (2021). Köy Archived 2015-07-06 at the Wayback Machine
en.wikipedia.org/wiki/Akp%C4%B1nar%2C_Ortak%C3%B6y
Akpınar is a village in the Ortaköy District, Aksaray Province, Turkey. Its population is 488 (2021). Köy Archived 2015-07-06 at the Wayback Machine,
arxiv.org/abs/1901.00516v1
Honey has been collected and used by humankind as both a food and medicine for thousands of years. However, in the modern economy, honey has become subject to mislabelling and adulteration making it the third most faked food product in the world. T...
arxiv.org/abs/2407.17404v2
Game Description Language (GDL) provides a standardized way to express diverse games in a machine-readable format, enabling automated game simulation, and evaluation. While previous research has explored game description generation using search-based...
github.com/michpolicht/CuteHMI
CuteHMI is an open-source HMI (Human Machine Interface) software written in C++ and QML, using Qt libraries as a framework. GitHub repository is a mirror! (⭐ 255)
github.com/GoogleCloudPlatform/ml-on-gcp
Machine Learning on Google Cloud Platform (⭐ 512)
en.wikipedia.org/wiki/Google_Cloud_Shell
Google Cloud Shell is an Online integrated development environment provided by Google Cloud Platform (GCP). It is a Ubuntu-based virtual machine with a
arxiv.org/abs/2508.16254v1
Synthetic data generation, leveraging generative machine learning techniques, offers a promising approach to mitigating privacy concerns associated with real-world data usage. Synthetic data closely resembles real-world data while maintaining strong...
arxiv.org/abs/2404.10771v2
Partial differential equations (PDEs) are instrumental for modeling dynamical systems in science and engineering. The advent of neural networks has initiated a significant shift in tackling these complexities though challenges in accuracy persist, es...
www.bing.com/ck/a?!&&p=853c505dafa0d43e554650e32c5701635c5af497f34b7f876da906f79af71122JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1f84bdd0-3968-69f3-3cf5-aac23899682e&u=a1aHR0cHM6Ly93d3cud29yZHJlZmVyZW5jZS5jb20vZGVmaW5pdGlvbi9mZWVk&ntb=1
to supply for maintenance or operation, as to a machine: to feed paper into a photocopier. to provide with the necessary materials for development, maintenance, or operation: to feed a printing press …
arxiv.org/abs/2602.19818v1
Model repositories such as Hugging Face increasingly distribute machine learning artifacts serialized with Python's pickle format, exposing users to remote code execution (RCE) risks during model loading. Recent defenses, such as PickleBall, rely on...
arxiv.org/abs/1809.08427v1
The combination of large open data sources with machine learning approaches presents a potentially powerful way to predict events such as protest or social unrest. However, accounting for uncertainty in such models, particularly when using diverse, u...
www.cnn.com/2025/05/30/business/anthropic-amodei-ai-jobs-nightcap
Points: 713 | Comments: 1240 | Author: lwo32k
arxiv.org/abs/2503.23772v2
Nowadays, more and more video transmissions primarily aim at downstream machine vision tasks rather than humans. While widely deployed Human Visual System (HVS) oriented video coding standards like H.265/HEVC and H.264/AVC are efficient, they are not...
en.wikipedia.org/wiki/Judas_Priest
produced by Dennis MacKay, and Killing Machine (released in North America as Hell Bent for Leather), both released in 1978. Binks was credited with co-writing
arxiv.org/abs/2203.07521v1
Autonomous Vehicles (AV)'s wide-scale deployment appears imminent despite many safety challenges yet to be resolved. The modern autonomous vehicles will undoubtedly include machine learning and probabilistic techniques that add significant complexity...
arxiv.org/abs/2307.12479v2
Cloud computing has revolutionized the way organizations manage their IT infrastructure, but it has also introduced new challenges, such as managing cloud costs. The rapid adoption of artificial intelligence (AI) and machine learning (ML) workloads h...
arxiv.org/abs/2502.18706v1
Federated learning (FL) with differential privacy (DP) provides a framework for collaborative machine learning, enabling clients to train a shared model while adhering to strict privacy constraints. The framework allows each client to have an individ...