Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Tabular artificial intelligence startup Prior Labs GmbH today announced a new foundation model that can handle millions of ...

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

The company is saying that Amazon S3 Vectors makes S3 a “more cost-effective and scalable” solution for AI and machine ...

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries (LMICs) and other low-resource settings, where healthcare resources and ...

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...

Perplexity's Deep Research feature is like having a super-efficient research assistant. You ask it a question, and it scours ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.