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 ...
Machine Design

ML-Enhanced Computer-Aided Engineering in the Cloud

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex simulation scenarios. The game-changer? Engineers train their model and use it ...
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 ...

Naizhong Cui Enhances Urban Traffic Engineering Through Data-Driven Forecasting and Infrastructure Optimization Frameworks

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...