Generative artificial intelligence (GenAI) models are powerful AI platforms that generate various outputs based on massive training data sets, neural networks, deep learning architecture, and user ...

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases. Written by eWEEK content and product ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Solving a machine-learning mystery A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data ...

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of ...

Deep neural nets are highly reductive models of the seemingly chaotic electro-chemical transmissions that populate every synapse of our own heads. ... Scrap or inhibit attention mechanisms in the ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

However, for some applications, sufficient training data is not available. "In the medical sector, for example, when diagnosing cancer via ultrasound, there aren't enough examples available to ...