OpenAI and Apollo researchers aren't concerned that current models could carry out the most serious kinds of scheming. As with much AI safety research, testing results primarily indicate risks of ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

Reduced Instruction Set Computer (RISC).25 Simplified instruction sets enabled faster microprocessors. Today, 99% of all ...

Concrete findings on how effective QR codes are at driving ad interactions are now available, and some industry best ...

Software testers and developers may not think of themselves like this, but we are indeed knowledge or thought workers. We are paid for the power of our brains and our ability to think, equally or more ...

Identity concealment rules were added to the policy, along with specific examples of bias, on the Anti-Defamation League’s ...

Objective A dashboard was developed with and for Irish general practitioners (GPs) to improve their understanding of practice ...

It’s hard to find programmers these days who aren’t using AI coding assistants in some capacity, especially to write the repetitive, mundane bits. But those who refused to try the tools when Coinbase ...

This repository demonstrates an experimental style of "vibe coding": a human developer sets up the foundation using the Open/Closed Principle (OCP), and a generative AI assistant extends it further ...

Abstract: Action recognition is a research hotspot in artificial intelligence, with significant applications in intelligent sports analysis, health monitoring, and human-computer interaction.

A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality. Here are the details. Traditionally, LLMs generate text one token at ...