This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

A guide on how Chartered Accountants can use AI for tax, audit, and finance. It covers practical applications, a technical framework, and numerical ...

In what appears to be a significant breakthrough, the Media Entertainment and Arts Alliance (MEAA) has announced plans to ...

We also applied machine learning algorithms ... 3 To address these limitations, text analysis tools such as CiteSpace and VOSviewer offer classification-independent methods to identify key topics.4 5 ...

Resolve 20 outpaces Premiere Pro 2025 in cost, speed and features. Here’s why editors are jumping ship to Blackmagic.

The Japanese AI laboratory Sakana AI has developed a new evolutionary algorithm called "Natural Ecological Niche Model Fusion ...

The machine learning model the team implemented overcame the challenge of limited data to incorporate the alpha conotoxins' amino acid sequences, secondary structure propensities and electrostatic ...

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 ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...