A famous psychological experiment in 1980 revealed insights into human behavior. This same study applies to how people respond to contemporary AI. An AI Insider scoop.

Playing a has-been sitcom actress in search of her second act, she braved two seasons' worth of cruel indignities. Now Valerie Cherish is back for her most harrowing (and mortifying) battle yet — ...

AI-powered autonomous research agents to be deployed in support of PEX010 clinical development strategy, leveraging Kala Bio’s purpose-built ...

As the World Baseball Classic electrifies baseball fans worldwide, Osamu Yada, Personal Trainer for Los Angeles Dodgers Pitcher Yoshinobu Yamamoto, has announced the launch of KINETIC LAB-LINK on ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform.

Your anonymous social media accounts could be uncovered by AI, experts warn - A new study has revealed how AI tools can ...

Hu, D. (2026) Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context. Open Journal of Modern Linguistics, 16, 115-128. doi: ...

OpenAI co-founder shares list of jobs most at risk to AI – then deletes it - Construction workers, barbers and nursing ...

While large language models (LLMs) like ChatGPT are adept at answering countless questions, they often remain unaware of a user's minor habits or previous conversational contexts. This is why AI, ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...