Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Traditional causality detection methods, such as Granger causality and transfer entropy, require regularly sampled time ...

This study illustrates a valuable application of BID-seq to bacterial RNA, allowing transcriptome-wide mapping of pseudouridine modifications across various bacterial species. The evidence presented ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

While research on altered states of consciousness has made considerable progress, much of the existing literature compares these states only to normative ...

SEGA has officially announced an upcoming Open Network Test for Sonic Racing: CrossWorlds. If you are hyped for the game following the recent trailer drop, then this test could be a good chance for ...