Abstract: The goal of this tutorial is to introduce functional hardware approximation techniques employing machine learning methods. Functional approximation changes the function of a circuit slightly ...

Abstract: Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

A conversation with the trailblazing computer scientist, who is on a mission to augment human care with the latest in AI and ...

The Future of Educational Data Analytics As we move further into the 21st century, the role of data analytics in education has become increasingly vital. By 2026, educational institutions are expected ...

Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...

First, pick your designation of choice. In this case, it’s Google’s Professional Machine Learning Engineer certification. Then look up the exam objectives and make sure they match your career goals ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

Unleash your creativity with Mr. Sagoo's DIY projects! Discover how to make stunning handmade crafts, thoughtful presents, and clever life hacks—all with materials you already have at home. Join our ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...