Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Information is encoded in the brain by populations or clusters of cells, rather than by single cells. This encoding strategy is known as population coding. Here we review the standard use of ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...

Moonshot debuted its open-source Kimi K2.5 model on Tuesday. It can generate web interfaces based solely on images or video. It also comes with an "agent swarm" beta feature. Alibaba-backed Chinese AI ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Jesse, a Tennessee caller to The Ramsey Show, had a problem many Americans would envy. His company was rewarding his strong performance with an all-expenses-paid cruise. But with roughly $20,000 in ...

A proof of concept shows how multi-agent orchestration in Visual Studio Code 1.109 can turn a fragile, one-pass AI workflow into a more reliable, auditable process by breaking long tasks into smaller, ...