Could the same method one day power sleep-time ads? It's like the movie Inception, but without Leonardo DiCaprio, unless you imagine him. Researchers used carefully timed sound cues to nudge dream ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

While 3D printing is often touted as a way to make housing more affordable, its current costs tell a different story. However ...

College is challenging enough. By adjusting how material is presented, professors can make a meaningful difference in how students understand, engage with and succeed in their courses.

When scientists employ generative AI tools like ChatGPT to help with tasks such as editing and translation for their academic writing, many journals now ask them to disclose this assistance. The rules ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Background Severe aortic stenosis (AS) is commonly associated with advanced cardiac damage, including right ventricular dysfunction (RVD), pulmonary hypertension (PH) and tricuspid regurgitation (TR), ...

New research shows that deltaviruses can sneak into cells by hitchhiking inside other viruses, highlighting a previously ...

EPFL researchers have developed a light-based method that can produce proteins that switch states, respond to signals, and even compute, using light and the cell cycle.

Correspondence to Dr Andreas Höhn, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB, UK; andreas.hoehn{at}glasgow.ac.uk Background Many complex public health ...

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.