If you are interested in performing additional calculations on Promise<T>, you may find this small library useful. Mutex, producer-consumer separation (side-effect operation), signaling (flag control) ...

The bell rings at 10:00 a.m. A teacher begins explaining quadratic equations. Some students lean forward, pencils ready. Others stare at the clock. A few are still turning yesterday’s lesson over in ...

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

Asynchronous multiplayer games offer deep strategy in short sessions, seamlessly fitting into busy lives. Games like Through the Ages, RAID: Shadow Legends, and The Battle of Polytopia excel in async ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

FastCo Works moderator, Rachana Bhide, speaks with Joe Thomas, cofounder and head of product at Loom Atlassian about why he launched Loom, a video based collaboration tool that enables organizations ...

FastCo Works moderator, Rachana Bhide, speaks with Joe Thomas, cofounder and head of product at Loom Atlassian about why he launched Loom, a video based collaboration tool that enables organizations ...

LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like autonomous AI agents and neurosymbolic ...