Machine learning workflow enables faster, more reliable organic crystal structure prediction

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

In Print: ‘An Introduction to Optimization: With Applications to Machine Learning’

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
VoxelMatters

Physics-based machine learning unlocks 3D printing potential

Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.

AI now drives every stage of materials research, review finds

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...
GEN - Genetic Engineering and Biotechnology News

Researchers Develop Intelligent Model for Aiding Design of Experiment

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.
Electronic Design

AI Adoption in Process Control Won’t be Instantaneous But Prepare Anyway

AI buzz is everywhere. Take a look at how you can begin to prepare for the future of process-control AI by following these ...
National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
The Manila Times

Machine Learning Interview Prep Course For ML Engineer Jobs - Interview Kickstart Integrates TinyML Training to Address Growing Edge AI Demand

Interview Kickstart, a technical training platform for aspiring FAANG engineers, announced today the integration of TinyML (Tiny Machine Learning) content into its Machine Learning Interview Prep ...