Cells called astrocytes are about as abundant in the brain as neurons, but scientists have spent much less time figuring out ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

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 ...

Al-Shehari, T. and Alsowail, R.A. (2021) An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques. Entropy, 23, Article 1258.

AI agents are becoming ubiquitous on the market, but how do they differ from other technology? And what do they mean for the legal market?

This study investigates the utilization of a dynamic encoding-decoding mechanism for transferred signals to explore adaptive quantized iterative learning control.

Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal development, professional growth, or practical tips, Jay’s got you ...