In 1986, three scientists improved backpropagation, making neural networks learn effectively from data

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...
Forbes

Make 2026 The Year You Actually Learn AI

Every January brings resolutions to learn something new. This year the list might include Spanish, guitar or data analysis. Those are fine choices, but there's an argument that learning to work ...
EurekAlert!

SEOULTECH researchers develop VFF-Net, a revolutionary alternative to backpropagation that transforms AI training

VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...
Frontiers

Next-gen neuro-AI: Aligning foundation models and biologically plausible architectures with human cognition

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
PC Magazine

AI backpropagation

The method used to train a large language model (LLM). An AI model's neural network learns by recognizing patterns in the data and constantly adjusting its neurons to predict what comes next. With ...