Asynchronous Distance Learning Performance and Knowledge Retention of the National Institutes of Health Stroke Scale Among Health Care Professionals Using Video or e-Learning: Web-based Randomized ...

Modern bot detection rarely deals with obviously fake browsers. Most large-scale automation today runs inside browser ...

The emergence of tools like ChatGPT complicates the ability of instructors to assess genuine learning, raising concerns about the future of this educational model. The COVID pandemic accelerated the ...

This episode looks at the async–await pattern and the hidden traps that come with it. A small, harmless line of code set off a slowdown that baffled everyone involved. As we dissect the sequence, the ...

NEW YORK, Nov 17 (Reuters) - The dollar strengthened against the euro and the yen on Monday as traders exercised caution ahead of what could be a busy week with the long-awaited return of U.S.

The United States finalized a $20 billion lifeline for Argentina that will benefit Treasury Secretary Scott Bessent’s allies. By Alan Rappeport and Maria Abi-Habib Alan Rappeport covers the U.S.

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 ...

Abstract: Visual simultaneous localization and mapping (VSLAM) is a key technique that enables autonomous systems to localize themselves and incrementally build a map of an unknown environment using ...

Maintaining academic integrity in the age of generative AI is a headache for all professors. But those who teach large-enrollment and asynchronous courses are in a particularly challenging spot. If ...