Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The paper explores how artificial intelligence can safeguard privacy in the Internet of Things, mapping vulnerabilities ...

Hunan Majiang Linghang Education Technology Co., Ltd.: The Breakthrough of Transformer Self-Attention Mechanism Against ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...

Scientists said Wednesday that they had created an AI model able to predict medical diagnoses years in advance, building on ...

This FAQ talks about how attention mechanisms work at their core, how they are used in automatic speech recognition systems, ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...