The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...

School of Electronics Engineering, Vellore Institute of Technology, Vellore, India Introduction: Identifying protein-coding regions in eukaryotic Deoxyribonucleic acid (DNA) remains difficult due to ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

Dr. Berg teaches philosophy at the University of California, Irvine. Last spring, it became clear to me that over half the students in my large general education lecture course had used artificial ...

Abstract: Secure and reliable information transfer is very important in present scenario. Hackers steal the messages by launching plenty of security attacks and make the entire information system ...

In recent years, ChatGPT has exploded in popularity, with nearly 200 million users pumping a total of over a billion prompts into the app every day. These prompts may seem to complete requests out of ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

This approach combined: (1) supervised machine learning for text classification, (2) comparative topic modeling with both theory-driven and data-driven Latent Dirichlet Allocation (LDA) to identify ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...