CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...

This project implements a 4-layer MLP Autoencoder trained on the MNIST handwritten digit dataset. The autoencoder learns to compress 784-dimensional images (28×28 pixels) into a compact latent ...

This project is a personal practice attempt at performing anomaly detection on a multivariate time-series dataset. The dataset chosen is the Tennessee Eastman dataset, and anomalies in the data are ...

在当前的AIGC浪潮中，扩散模型无疑是图像生成领域的绝对主力。我们熟知的 Stable Diffusion 等模型，大多在一种被称为“潜在空间”的低维数据空间里工作。这个潜在空间通常由一个变分自编码器（Variational Autoencoder, VAE）构建，其核心任务是尽可能无损地压缩和重建图像的像素细节。 与此同时，在计算机视觉的另一重要分支——视觉“理解”领域，像 DINO、CLIP ...

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power ...

MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...

Cyber–Physical Systems (CPSs) are integrated systems that combine modern computational and communication technologies with physical processes, enabling real-time monitoring and control across various ...

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