Abstract: We present a Proof of Concept of a chemical sample classifier. Instead of a spectrometer, we use autoencoders, machine learning models that try to reconstruct their output images presented ...

Generating the periodic structure of stable materials is a long-standing challenge for the material design community. This task is difficult because stable materials only exist in a low-dimensional ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...

Abstract: Deep Learning based intrusion detection systems are susceptible to adversarial examples which are maliciously perturbed data samples that can cause a trained intrusion detection system to ...

In this guide, we will show you how to change the Sample Rate as well as the Bit Depth in Windows 11. We will do the following things in this post. Change Sample Rate and Bit Depth for Audio Output ...

We propose the In-context Autoencoder (ICAE), leveraging the power of a large language models (LLM) to compress a long context into short compact memory slots that can be directly conditioned on by ...

I have created a fork that contains the notebooks about the autoencoder example and how we crop and get a ideal size input images. It is in: https://github.com ...