Tree structures have been widely used to model intelligent behavior, such as reasoning, problem-solving, and language ...

Such networks, known to mathematicians as graphs, are made up of nodes connected by edges. On a football pitch, each player ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

Finding your zero bit and building it into your marketing process may be what's missing in your search to find new customers.

An interview with Karl Friston, a computational psychiatrist and an architect of an AI developed to emulate natural ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

AI servers are used for training and deploying machine learning models, executing neural networks for tasks like image and speech recognition, analyzing and understanding human language ...

A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the network. NPUs integrate these weights directly ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...

Within this domain, IOTA has been purpose-built for IoT. This article analyzes the performance of IOTA’s data structure Tangle based on the Markovian arrival process (MAP). Meanwhile, we have ...