This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Answering this disconnect between a batter’s expectations and their observations of where a pitch would and did cross the ...

Abstract: With the advancement of the industrial Internet of Things, minimizing delay has become a critical performance metric for many industrial applications. Edge computing effectively addresses ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

What many users do not fully appreciate is that these tools introduce a third party into conversations historically governed ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

Abstract: Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP). In recent years, ATS has ...