A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

Northwestern University biophysicists have developed a new computational tool for identifying gene combinations underlying complex illnesses such as diabetes, cancer, and asthma. Unlike single-gene ...

Northwestern University biophysicists have developed a new computational tool for identifying the gene combinations underlying complex illnesses like diabetes, cancer and asthma. Unlike single-gene ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

A new technical paper titled “Generative AI for Analog Integrated Circuit Design: Methodologies and Applications” was published by researchers at McMaster University. “Electronic Design Automation ...

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...

Modern image and video generation methods rely heavily on tokenization to encode high-dimensional data into compact latent representations. While advancements in scaling generator models have been ...

Note: We have recently found that Dora-VAE can specify tokens of any length during inference, even if this length has not been seen during training. During inference, you could use a latent code ...