The AI paper submission surge has coincided with an increase in the number of substantive errors in academic papers – ...

Institutional memory loss explains why so many AI debates feel stuck on repeat. The same hopes, fears, and technical arguments resurface because the field has not fully absorbed its own history. Until ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Research from startup GPTZero points to the impossible problem prestigious conferences face in the age of AI slop.

An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...