How AI Evolved from Alan Turing to ChatGPT in 100 Years

Discover how artificial intelligence evolved over a century through periods of innovation, AI winters, and the deep learning ...
Semiconductor Engineering

Flexible AI-MCU For Fast Inference of Transformer Models At The Ultra-Low-Power Edge (ETH Zurich, U. Bologna)

Researchers from ETH Zurich and University of Bologna have released “CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with ...
EurekAlert!

How transformers are rewiring graph-based recommendation

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections. The study shows that transformer models ...
IEEE

Graph Transformers: A Survey

Abstract: Graph transformers are a recent advancement in machine learning, offering a new class of neural network models for graph-structured data. The synergy between transformers and graph learning ...
IEEE

Graph Transformer With Structural Embedding and Training for Hyperspectral Image

Abstract: Graph transformer networks have received more attention in hyperspectral image (HSI) classification. However, they overlooked the influence of graph connectivity strength in positional ...