This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and near-infrared (NIR) spectroscopy provide detailed biochemical fingerprints ...

Is the quest for habitable planets set to be revolutionized by a planet in plain sight a planet that was invisible until today, due to the glare of its host star? The James Webb Space Telescope (JWST) ...

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to minimize ...

Crypto wallets are not monolithic. They span a complex attack surface—from memory-unsafe runtime environments to poisoned ...

In a study published in Cell on July 10, researchers reported the first comprehensive study of whole-brain projectomes of the ...

This study offers important insights into the development of infants' responses to music based on the exploration of EEG neural auditory responses and video-based movement analysis. The convincing ...