Intuit on MSN

How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Humans and artificial neural networks exhibit some similar patterns during learning

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
Tech Xplore

BrainBody-LLM algorithm helps robots mimic human-like planning and movement

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...
eLife

Ubiquitous predictive processing in the spectral domain of sensory cortex

The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...
IEEE

Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network

Abstract: Spatiotemporal fusion (STF) technology is an effective means to address the challenge of balancing temporal and spatial resolutions for single satellite sensors. Remote sensing imagery ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.