From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance cellular reprogramming for aging research. The company operates across ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
At the heart of every AI workload lies a pipeline—the process of ingesting, transforming, training, and serving data. These ...
It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence.
Abstract: In modern semiconductor manufacturing, optimizing plasma etching processes is key for advancing technology and achieving profitable production. In this study, we propose an efficient process ...
Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
Department of Physics, Sharif University of Technology, Tehran 11365-9161, Iran Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia ARC Research Hub for ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Abstract: The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly challenging to automate and ...
Department of Physics, University of Warwick, Coventry CV4 7AL, U.K. Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick, Coventry CV4 7AL, U.K. You are free to share ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback