Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Just when you think we've seen every wild experiment that can be done with AI image generators, along comes another one to ...

The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience ...

In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Prasen Reddy Yakkanti's research highlights how AI-driven infrastructure scaling can revolutionize cloud resource management, ...

PB VCR to provide a personalized video representation of each consumer’s credit report • Actionable insights along ...

The 75th Regeneron International Science and Engineering Fair (ISEF), the world's largest and most prestigious science competition, concluded on May 16 with the Grand Awards ceremony in host city ...

To address this issue, this paper proposes an effective framework, named compact and discriminative stacked autoencoder (CDSAE), for HSI classification. The proposed CDSAE framework comprises two ...

Abstract: Cervical cancer poses a significant global health challenge, necessitating accurate and efficient diagnostic solutions. This study introduces a novel hybrid framework, AutoEffFusionNet, that ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

A prototype system that uses a CNN encoder and edge-based features to retrieve visually similar fashion items from the Fashion MNIST dataset using cosine similarity.

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...